Work-Based Learning In Two-Year Colleges In The United States
MDS-721
Debra D. Bragg
University of Illinois at Urbana-Champaign
Russell E. Hamm
National Council for Occupational Education
Arapahoe Community College, Littleton, Colorado
Kay A. Trinkle
University of Illinois at Urbana-Champaign
National Center for Research in Vocational Education
Graduate School of Education
University of California at Berkeley
2030 Addison Street, Suite 500
Berkeley, CA 94720-1674
Supported by
The Office of Vocational and Adult Education
U.S. Department of Education
February, 1995
FUNDING INFORMATION
| Project Title:
| National Center for Research in Vocational Education
|
| Grant Number:
| V051A30003-97A/V051A30004-97A
|
| Act under which Funds Administered:
| Carl D. Perkins Vocational Education Act
P.L. 98-524
|
| Source of Grant:
| Office of Vocational and Adult Education
U.S. Department of
Education Washington, DC 20202
|
| Grantee:
| The Regents of the University of California
c/o National Center for Research in Vocational Education
2030 Addison Street, Suite 500
Berkeley, CA 94720
|
| Director:
| David Stern
|
| Percent of Total Grant Financed by Federal Money:
| 100%
|
| Dollar Amount of Federal Funds for Grant:
| $4,500,000 |
| Disclaimer:
| This publication was prepared pursuant to a grant with the Office of
Vocational and Adult Education, U.S. Department of Education. Grantees
undertaking such projects under government sponsorship are encouraged to
express freely their judgement in professional and technical matters.
Points of view or opinions do not, therefore, necessarily represent
official U.S. Department of Education position or policy.
|
| Discrimination:
| Title VI of the Civil Rights Act of 1964 states: "No person in the
United States shall, on the ground of race, color, or national origin, be
excluded from participation in, be denied the benefits of, or be subjected
to discrimination under any program or activity receiving federal financial
assistance." Title IX of the Education Amendments of 1972 states: "No
person in the United States shall, on the basis of sex, be excluded from
participation in, be denied the benefits of, or be subjected to
discrimination under any education program or activity receiving federal
financial assistance." Therefore, the National Center for Research in
Vocational Education project, like every program or activity receiving
financial assistance from the U.S. Department of Education, must be
operated in compliance with these laws.
|
We are indebted to the many individuals who contributed to this research
project. First, we express our sincere thanks to two individuals, Sandra
Foster and James Jacobs, who joined us in 1992 to conceptualize this project
and form the core group of the National Council for Occupational Education's
(NCOE) task force on work-based learning. Their vision helped shape the
project early on; their assistance throughout encouraged us to persevere. We
also thank Ellen Dran and Robert Sheets of the Center for Governmental Studies
of Northern Illinois University. Their thorough and professional
administration of the national survey and careful data processing were
essential to completing this study in a timely fashion.
We also thank several individuals who provided thoughtful criticisms to a
draft of the work-based learning survey: Louise Bertsche of the National
Alliance of Business, Luis Castro of the office of U.S. Senator Paul Simon, Ron
Castaldi of the U.S. Department of Education, Richard Kazis of Jobs for the
Future, and Sandra Sterling of the Oregon Bureau of Labor and Industries.
Their input helped us revise the survey instrument and involve several members
of the NCOE Board in a pilot test of it, an activity that provided valuable
feedback for the final version of the survey. We thank the NCOE Board members
for their valuable assistance during the pilot phase of the project and their
continued support throughout. Similarly, we appreciate the support received
from the National Center for Research in Vocational Education (NCRVE). We
especially thank Mildred Griggs, NCRVE site director at the University of
Illinois at Urbana-Champaign, for her encouragement over the past two years as
we conducted the study.
This year the NCOE task force on work-based learning was joined by several
talented and enthusiastic members: Mary Burnett of North Seattle Community
College, Robert Day of Mountain Empire Community College, David Sargent of the
Georgia Department of Technical and Adult Education, and George Johnston and
Paula Puckett of the University of Illinois. These individuals have
contributed to the project in countless ways, including assisting in
interpreting the survey results presented here. Their wisdom and foresight has
enriched the project immeasurably.
Finally, several others have helped to create this final report and we cannot
forget their contributions. We are grateful to James Layton for his assistance
with statistical analysis of the enormous database created by our survey
research. We are also indebted to William Reger for his careful handling of
the painstaking job of creating the text and statistical tables for this
manuscript. Finally, we thank three anonymous reviewers who critiqued an early
draft of the report as well as the staff of the Materials Distribution Service
unit of NCRVE for making the report more accurate, readable, and interesting.
Reflecting over the past two years, we cannot deny the struggles encountered
as we attempted to study an ill-defined, emerging educational innovation such
as work-based learning. However, we will also not quickly forget the sense of
accomplishment this project has given us. We are proud of our efforts and
thank all who shared in the experience with us.
Debra D. Bragg
Russell E. Hamm
Kay A. Trinkle
|
Competition in the world economic marketplace is being fought in the arena of
human resources. Countries with education and training systems that provide
highly skilled workers have a powerful advantage and America, seeking that
advantage, is evaluating her own public and private education systems to
determine their state of readiness. Secondary and postsecondary schools are
being assessed, and new and heavy expectations are being levied. The
expectations set for schools, the sum of which is to lift human resource
preparation to the ranks of the world's best, include a variety of plans and
programs at the local, state, and federal levels. Two-year colleges are an
undeniably vital part of the nation's educational system; therefore, it is
important to better understand the role they play in future workforce
preparation efforts.
This report documents the first of two studies on the status of work-based
learning in America's community, junior, and technical colleges, referred to as
"two-year colleges" throughout this report. The intent of this first study was
to determine the aggregate depth, scope, and quality of work-based learning in
the nation's two-year colleges. The timing of this research just prior to
passage of the federal School-To-Work Opportunities (STWO) legislation provides
a baseline from which progress on implementation of new work-based learning
programs involving two-year postsecondary education can be assessed. The
overarching goal, as STWO legislation overlays the nation's educational system,
is to learn if America has or may soon have in place the structures to meet new
federal STWO directives.
With this study, a census design was used to ascertain the scope of work-based
learning occurring nationwide. Among other questions, we asked how many
programs have a mandated work-based learning component? How many students
actively participate in learning that happens in the workplace? What models are
being employed? What barriers preclude the growth of work-based learning in
two-year colleges? In order to focus the study, a definition of work-based
learning was provided along with a list of the most frequently used models
(e.g., professional/clinical and cooperative education). By work-based
learning (WBL) we mean
instructional programs that deliberately use the workplace as a site for
student learning. WBL programs are formal, structured, and strategically
organized by instructional staff, employers, and sometimes other groups to link
learning in the workplace to students' college-based learning experiences. WBL
programs have formal instructional plans that directly relate students' WBL
activities to their career goals. These WBL experiences are usually but not
always college-credit generating. Instructional programs that involve youth
apprenticeships, clinical experiences, school-based enterprises, and formal
registered apprenticeships are examples of WBL programs.
Additionally, colleges were provided the opportunity to nominate their best
work-based learning programs in the health and nonhealth curriculum areas. Of
a total population of 1,036 U.S. two-year colleges, a response rate of nearly
50% was obtained. A final data set containing 454 cases provided the basis for
this report.
Scope of Work-Based Learning
Results indicate that approximately nine months prior to passage of
the federal STWO legislation, many two-year colleges were engaging students in
work-based learning experiences, although these experiences were from limited
curriculum and program areas. An average of 18% of students in
occupational-technical (vocational) education were estimated to take part in
work-based learning in the vast majority of responding institutions. In
addition, approximately one-quarter of the respondents estimated that a
majority of students (55%) involved in customized or contract training were
also participating in work-based learning. This result confirms the
increasingly important role two-year colleges are playing in delivering
customized education experiences at the worksite (Jacobs & Bragg, 1994).
Hence, the two areas of vocational education and customized training appear to
provide the preponderance of work-based learning for students in U.S. two-year
colleges. Other major curriculum areas such as transfer and liberal studies,
developmental education, and continuing or community education showed evidence
of work-based learning but were much less likely to employ such models on a
wide scale.
Nationally, several programs/disciplines were identified where work-based
learning was a required component of a student's program of study. We
identified more then 60. However, although work-based learning was documented
in a wide array of programs, it was not found on any great scale except within
a few of the programs. Among these, the health (e.g., nursing, radiologic
technology, respiratory therapy) and business (e.g., office management,
business administration, marketing) curriculum areas were predominant. In
fact, nursing was the only program area to require work-based learning by the
majority of responding institutions. Conspicuously absent from the list of top
programs requiring work-based learning were those linked to manufacturing and
high tech programs including computer-aided design and drafting, electronics
and electrical technology, information processing, mechanical design,
metalworking/tool and die making, environmental technology, microcomputers,
quality control, and telecommunications. This discovery is of some
disappointment as these sorts of programs seem critical to the manufacturing
and service industries and work-based learning would appear to enhance
students' understanding of occupations associated with them. However, many
factors are likely contributors to this phenomenon including the nation's past
economic difficulties, changes in the ways manufacturers and service industries
utilize workers, and a lack of awareness about work-based learning among these
industries. Within two-year colleges, competing internal priorities linked to
diminishing resources is another likely factor.
Characteristics of "Best" Health and Nonhealth Programs
Two key sections of the questionnaire asked respondents to nominate
their best health and nonhealth programs based on the following four criteria:
(1) formal structure which sought programs that had formal instructional
plans that deliberately linked the workplace with students' college-based
learning experiences; (2) fully operational which meant that faculty,
employers, and other organizations were formally committed to carrying out
work-based learning for students; (3) a proven track record which
required a stream of program completers known to have reached their academic
and career goals; and (4) innovative approaches evidenced by use of new
and creative strategies in curriculum and instruction, program administration,
or partnerships with business, industry, and labor. Based on these criteria,
the following ten program areas were nominated most frequently:
| 1. | | | Nursing (LPN, RN, & ADN) (220 nominations)
|
| 2. | | | Nurse assistant (82)
|
| 3. | | | Business and occupations (41)
|
| 4. | | | Auto technologies (34)
|
| 5. | | | Engineering technologies - various (24)
|
| 6. | | | Radiologic technology (22)
|
| 7. | | | Cooperative education and cooperative work experience (21)
|
| 8. | | | Agricultural-related programs - various (20)
|
| 9. | | | Early childhood education and child development (18)
|
| 10. | | | Trades, including traditional adult apprenticeships in
carpentry, electronics (17)
|
Together, the nursing and nurse assistant program areas accounted for 76% of
the 399 nominations received regarding health work-based learning programs. A
total of 322 nominations were received for nonhealth programs and the area of
business and office technology topped the list with 41 nominations. An
examination of the characteristics of the nominated programs indicated that
most were first implemented between 1961 and 1980 making them at least 14 years
old. Health programs tended to be older than nonhealth programs. Regardless,
the results demonstrate that work-based learning is not a new phenomenon but
one that has existed for quite a long time in two-year colleges. Results also
indicate that health programs tend to place students in medium-sized firms of
less than 500 employees while nonhealth programs tend to place students in
smaller companies of 100 employees or less. The number of students enrolled in
either type of program was similar, with nonhealth programs having slightly
higher enrollments, on average. Health programs enrolled an average of 144
students, and nonhealth programs enrolled an average of 163 students per
program.
Interestingly, the number of faculty involved in these programs differed more
dramatically than the student enrollments. Health programs had an average of
14 faculty equally divided between full-time and part-time status. Nonhealth
programs had half that number with an average of only three full-time and four
part-time faculty. This difference becomes dramatic when combined with the
following results showing the average number of hours students spent in
work-based learning: health--741 hours; nonhealth--770 hours. This apparent
inequity suggests that nonhealth programs may be under-resourced in their
support for work-based learning relative to health programs. This raises the
question of how many faculty are needed to operate a successful work-based
learning program. Certainly health programs are operating under the approval
of any number of professional (frequently sanctioning) organizations and legal
mandates which help to control for favorable student/faculty ratios. Could
such organizations have a similar impact on nonhealth programs, possibly
brought about by efforts to establish national skills standards? Learning more
about the quality of student experiences--a focus of our second work-based
learning study--is vital to making informed policy recommendations on workable
and efficacious student/faculty ratios.
Also evident from findings is the tendency for health and nonhealth programs
to gravitate toward particular work-based learning models such as the
following: professional/clinical, cooperative (co-op), school-based
enterprise, traditional (formal adult) apprenticeship, or youth apprenticeship.
Nearly all of the nominated health work-based learning programs were identified
as using the professional/clinical model (97%). In contrast, nonhealth
programs typically utilized the co-op model (64%). The remaining nonhealth
programs usually reported using either the professional/clinical or "other"
model, often described as internships and described similarly to co-op. Models
such as traditional apprenticeship, school-based enterprise, and youth
apprenticeship were rarely utilized by any of the nominated programs--health or
nonhealth. In addition, few programs were identified as utilizing Tech Prep
funds or providing formal articulation agreements with secondary schools, a key
feature of the Tech Prep model.
Results from the study reveal how specific components related to the federal
STWO legislation were employed by programs associated with the particular
work-based learning models. Overall, the two models of traditional
apprenticeship and youth apprenticeship had implemented the greatest percentage
of the twenty-two selected STW components under investigation in this study.
This finding is not particularly surprising since initially the STWO
legislation was based on an apprenticeship model with at least one early
version of the federal bill containing the term "youth apprenticeship" in the
title. Nonetheless, it is important to note that these models most closely
paralleled the specifications of the STWO legislation. At the same time we
must reiterate that programs associated with the traditional or youth
apprenticeship models received very few nominations as two-year colleges'
"best" work-based learning programs. When they were nominated, few students
were shown to be participating in these programs. Moreover, little evaluative
data was provided to indicate the efficacy of these programs. Therefore, while
the apprenticeship models may contain more of the components of federal policy
than other models, their generalizability to the nation's two-year college
system appears problematic at this time.
Furthermore, we examined how programs associated with each of the work-based
learning models fit with various school-based, work-based, and connecting
components mentioned in the federal STWO law. We concluded that few of the
models uniformly incorporated such key components as training and credentialing
of workplace mentors, inservice of college faculty and staff in work-based
learning concepts, formal articulation agreements with secondary schools, and
incentives for business. Often, other components such as recruitment of
targeted student groups and job placement were lacking as well. Does the fact
that colleges' "best" programs lacked such components suggest they are not
essential to a successful work-based learning program? This question cannot be
answered without more detailed information about work-based learning programs
and the ways particular components associated with them contribute to student
outcomes.
When examining who has primary responsibility for the components associated
with work-based learning (i.e., colleges, employers, or other agencies), we
learned that colleges have primary responsibility for nearly all school-based,
work-based, or connecting components. These responsibilities include the
following:
| * | | | | delivery of instruction
|
| * | | | | curriculum development
|
| * | | | | student selection
|
| * | | | | providing special assistance to students
|
| * | | | | certifying students
|
| * | | | | selecting workplace mentors
|
| * | | | | training of mentors/coaches
|
| * | | | | providing insurance
|
College health programs were reported to have the primary responsibility for
nearly every facet of work-based learning, including selecting, instructing,
mentoring, assessing, and certifying students. Nonhealth programs were
similarly responsible for the vast majority of components, except for the areas
of supervising and evaluating students where the responsibility was shared with
employers. These results indicate that although some student learning takes
place in the workplace, the primary responsibility for the learning process
remains that of the colleges rather than employers or other agencies. This
suggests deficits in existing work-based learning practices, especially with
the role of the worksite and activities connecting the colleges and employers.
Clearly, with some exceptions, two-year colleges are expected to take charge of
the development and operation of work-based learning, leading us to pose the
following several questions: If more students are to participate in work-based
learning, how can colleges manage increased demands on personnel and fiscal
resources? What incentives could be provided to encourage employers or other
groups to play a more pivotal role? and If responsibilities are delegated, what
ones should be undertaken by employers or other agencies? Additional research
is needed to address these questions. Obviously, for more students to engage
in work-based learning, a greater sharing of responsibility must occur among
colleges, employers, and other agencies. If this sharing does not occur,
colleges will need to develop work-based learning experiences that require
fewer resources. Whether alternatives can be employed that can provide
equivalent learning experiences is another important question that must be
addressed.
Support for Work-Based Learning
When asked to reflect on past experiences with work-based learning,
respondents perceived that the highest level of support came from stakeholder
groups such as advisory boards, business/industry representatives, state
licensing agencies, and college administrators--all groups with something to
gain. In contrast, groups that may have perceived work-based learning as a
poor alternative to traditional curricula or even as a threat to their own
goals (i.e., parents, labor, four-year schools) were least supportive. Not
surprisingly, work-based learning as an alternative pedagogical delivery mode
may be stigmatized with the same poor image that vocational education carries
in general and this stigma may be contributing to the lack of support by some
groups.
Results also indicate that too few resources (time, people, and funding) and
too little active involvement, especially from business and industry, were
perceived to be the most serious barriers to initiating more work-based
learning in two-year colleges. Therefore, while respondents saw many
stakeholder groups as supportive of the concept of work-based learning, they
viewed some of these groups as making too few contributions to the cause.
Obstacles having a moderate or minor level of impact included cooperation with
other institutional partners and labor; a lack of faculty interest in and
knowledge about work-based learning, and curriculum-related issues such as a
lack of integrated occupational and technical education and lack of focus on
careers. These findings suggest internal and external concerns are
intermingled, with issues on each side influencing the other. Until these
barriers are addressed, it seems unlikely that work-based learning will grow
substantially within two-year colleges or across the nation's system of
postsecondary education. At the least, new and affordable approaches should be
explored if the concept is to flourish on a wider scale.
Work-Based Learning Policy Recommendations
Finally, respondents were asked to provide recommendations for how local,
state, or federal governments could develop policy to assist with the growth of
work-based learning. Without exception, the suggestions provided by
respondents were supported by other results. The recommendations sought more
fiscal resources for two-year colleges; more incentives for businesses to join
work-based learning partnerships; increased promotion of work-based learning,
particularly to business and parents; clearer standards and guidelines
emanating from the state and federal levels; and more support from local,
state, and federal agencies as well as professional associations. It is our
belief that policymakers at all levels should seriously consider the advice of
the two-year college practitioners responding to our survey, a group already
experienced in delivering work-based learning and likely to understand issues
surrounding its expansion.
Phase Two of the Work-Based Learning Study
Using the data gathered from phase one, eight two-year colleges were
identified for further in-depth study. Work-based learning programs in these
eight colleges were selected because they were thought to exemplify formal
structure and commitment to work-based learning by various stakeholder groups,
have a proven track record of student success, and represent innovative
practices. During the fall of 1994, research teams have visited these colleges
and, using a structured interview (qualitative) procedure, gathered relevant
data regarding program quality. Currently the teams are synthesizing this
information and producing a second report documenting the activities required
to initiate and operate two-year college work-based learning programs. This
report will be available in the spring of 1995.
The decline in American competitiveness is increasingly linked to
inadequacies in human resources, including a lack of preparedness among
entrants into the workforce. According to the Secretary's Commission on
Achieving Necessary Skills (SCANS) (1991), too few new employees enter the
labor market with the skills needed to fill jobs requiring technical
sophistication. Nor do these prospective workers seem ready or sometimes
capable of learning these skills (Carnevale, Gainer, & Meltzer 1990). This
same situation does not seem as serious for many of America's foreign
competitors. Investigations of technical training systems in countries such as
Germany and Sweden reveal that well-developed work-based learning systems can
and frequently do facilitate school-to-work transition (Nothdurft, 1989).
Researchers (e.g., see, Rosenbaum, 1992; Stern, 1992; Stone & Wonser,
1990) find the need to strengthen the transition between school and employment
but caution that a range of transition mechanisms will be necessary to meet the
needs of America's diverse population. Models such as cooperative education
(co-op), youth apprenticeship, school-based enterprise (SBE), traditional adult
apprenticeship, and Tech Prep represent approaches to providing school-to-work
transition. However, these models differ dramatically in their methods,
maturity, and effectiveness (Stern, Finkelstein, Stone, Latting, &
Dornsife, 1994). For example, co-op, a model that has been implemented widely
over most of the century, has shown mixed results. Students who have been
fortunate enough to obtain jobs after high school or two-year college with
their co-op employers have obtained higher earnings; those who have not found
such employment have faired no better than students who did not have co-op
experience at all. In addition, two-year colleges have actively engaged in
delivering traditional adult apprenticeships, especially in the areas of
manufacturing and the trades; however, the partnerships bolstering these
programs have been tenuous (Casner-Lotto, 1988) and benefits to the colleges
and students have been uneven. Unfortunately, little is known about youth
apprenticeship, school-based enterprises, or Tech Prep, some of the
school-to-work models advocated most enthusiastically today.
In Germany and Denmark, various forms of apprenticeship are used to reduce the
distance between school and work as educators and employers share
responsibility for work-based learning (Hamilton, 1990). In addition, the
comparably high cost of work-based learning is shared by government and
business, and each perceives the contribution as an investment in the economic
well-being of the country. In America, the situation differs significantly,
often leaving youth to fend for themselves in bridging the gulf between a high
school or college education and the workplace, creating a costly and
ineffective situation for individuals, firms, and the nation as a whole.
However, in recent years, concern about the school-to-work transition gap has
culminated in new federal policy supporting wide scale application of the
work-based learning and school-to-work connecting concepts.
On May 4, 1994, President Clinton signed the School-To-Work Opportunities
(STWO) Act. Together, STWO and the Goals 2000: Educate America Act, passed in
March 1994, promote systemic educational reform nationwide to improve the
quality of teaching and learning in the classroom and workplace. The STWO Act
brings experiential, work-based learning forward to play a central role in
educational reform. Although separate from the federal vocational education
law (Perkins II and the Tech Prep Education Act), this legislation endorses a
role for work-oriented education in the nation's reform agenda. A primary goal
of the STWO Act is to establish a national framework to encourage states to
plan and implement statewide school-to-work systems that can assist youth to
identify and obtain rewarding work after completing secondary or postsecondary
education. The rationale for the STWO legislation is defined as follows:
The need for increasing the skill level of the American labor force
and the job readiness of American high school graduates is widely perceived as
vital to the health and continued growth of the U.S. economy. About 50 percent
of youth in the United States do not go to college, and only about 20 percent
of all U.S. youth get a 4-year college degree. By the year 2000, 52 percent of
jobs will require more than a high school diploma, but less than a college
degree. However, employers have found that U.S. youth--both school dropouts
and high school graduates--are ill prepared to meet employer requirements for
entry-level positions. (Training Technology Resource Center, 1994, p.
1)
No one model is endorsed by the STWO legislation; rather,
localities and states are encouraged to explore alternative approaches such as
cooperative education (co-op), youth apprenticeship, and Tech Prep. Successful
completion of a school-to-work program is expected to result in a high school
diploma, a certificate or degree from a postsecondary institution, or an
occupational skill certificate: "The skill certificate will be a portable,
industry-recognized credential that certifies competency and mastery of
specific occupational skills" (U.S. Department of Education & U.S.
Department of Labor, 1993, p. 2). No matter the model chosen, any
school-to-work program should strengthen relationships between the following
groups: (1) vocational and academic education, (2) educators and employers,
and (3) secondary and postsecondary education.
Three components form the foundation of educational systems (and programs)
congruent with the STWO Act: (1) a work-based component, (2) a school-based
component, and (3) a connecting component (i.e., activities that connect school
and work). These three components are essential to a school-to-work system.
The school-based learning component requires career exploration and counseling,
instruction in a particular career area, selection of a career major by
eleventh grade, and periodic evaluations linked to academic standards specified
in the Goals 2000: Educate America Act. In addition, the school-based
component encourages linkages with postsecondary education in a way similar to
but not as explicit as the formal 2+2 articulation requirements of the federal
Tech Prep Education Act. The work-based learning component involves paid or
unpaid work experience, workplace mentoring, and instruction in general
workplace competencies as well as in all aspects of the industry. Through
work-based learning, students should acquire progressively higher-level skills
consistent with the demands of a particular occupation. Finally, the
school-to-work connecting component is designed to ease the transition from
in-school to out-of-school learning, ensuring a match between students'
interests and competencies and employers' work-based learning opportunities.
Examples of school-to-work connecting activities are support services such as
career counseling, professional development of school/college faculty and
workplace mentors, and job placement.
Two-year colleges have a long and rich tradition of offering
occupational-technical education programs for America's youth and adults.
Particularly since the late 1960s and early 1970s, a primary function of all
types of two-year colleges (junior, community, and technical) has been delivery
of career-oriented vocational and technical education (Cohen & Brawer,
1989). Increased emphasis on the postsecondary level by federal vocational
education legislation, changing demographics, greater demand by business and
industry, and related transformations in the ways firms and labor markets
operate are some of many factors that have influenced growth in two-year
college occupational-technical education.
The U.S. General Accounting Office (1993) estimated that in academic year
1990-1991, 93% of all two-year colleges offered an average of 27 vocational
programs; nationwide, approximately 43% of students in these colleges were
enrolled in these programs. Results from the National Assessment of Vocational
Education (1994a) interim report describe vocational education as being
"stronger at the postsecondary than at the secondary level" (p. xiii). In
summarizing the major findings of the study, NAVE (1994b) made the following
statement pointing to the strengths of postsecondary vocational education:
Postsecondary vocational programs provide more structure than their
secondary counterparts for students working toward a degree. . . . The
economic outcomes for postsecondary vocational students are better than for
secondary students. Postsecondary completers are more likely to find jobs
related to their training, and even some coursetaking without completing a
program seems to confer labor market benefits. These advantages of
postsecondary vocational education seem to be most pronounced in public
community colleges. (pp. 17-18)
Beyond the emphasis on
career-oriented programs for their own students, two-year colleges are
increasingly viewed as necessary partners in school-to-work related educational
reforms beginning at the high school level. Initiatives such as Tech Prep and
youth apprenticeship implicitly or explicitly describe a role for two-year
colleges to assist the transition of high school youth to postsecondary
education and to help them acquire the more advanced technical and academic
competencies needed for entry into the labor market. Although the involvement
of two-year colleges has not fully developed with these school-to-work reforms
(Bragg, Layton, & Hammons, 1994; Kazis, 1993; NAVE, 1994b), public policy
encourages--mandates in the case of federal Tech Prep education
legislation--that two-year colleges play a pivotal role in school-to-work
reform.
Besides the newer school-to-work models, older, more established work-based
learning models such as co-op and traditional adult apprenticeship are already
firmly planted in many of the nation's two-year colleges (Stern et al., 1994),
offering other means for two-year colleges to contribute to the nation's
school-to-work agenda. In addition, many of America's two-year colleges
demonstrate experience in partnering with private-sector firms to deliver
related programs and services such as customized or contract training;
entrepreneurial training and small business development; and technology
transfer. The education-business partnerships of two-year colleges that have
provided the basis for the diverse array of educational programs focused on
workforce preparation may also contribute in significant ways to newer
school-to-work and work-based learning programs as well.
What role should America's two-year colleges play in work-based learning,
especially considering new secondary to postsecondary articulated initiatives
such as Tech Prep and youth apprenticeship? Can effective American-style
work-based learning systems be designed without some involvement by two-year
colleges, especially considering the increasingly prominent role two-year
colleges play in educating America's beyond-high school, nontraditional
population? Although recent studies address the scope and quality of
postsecondary vocational education programs, little is known about the
work-based learning component that may be associated with these programs.
Little information exists about work-based learning in two-year colleges,
except possibly for programs associated with the health-care industry. Because
of the dearth of information about work-based learning in two-year colleges and
the rising interest in such programs, a national study was undertaken to
assimilate knowledge on this subject and assist policymakers and practitioners
in the design of future work-based learning programs.
This study was designed to document the status of work-based learning in U.S.
two-year colleges. The study occurred prior to passage of the federal
School-To-Work Opportunities (STWO) legislation, so it provides a baseline from
which progress on implementation of new school-to-work programs can be
assessed. Prior to passage of the federal STWO legislation, little research
existed regarding the nature of work-based learning in U.S. two-year colleges,
creating a need to describe the scope and character of work-based learning
offered by these institutions. Given that, the primary objective of the study
was to describe the status of work-based learning across all curricula of U.S.
two-year colleges. The following specific areas were examined in this study:
| * | | | | The scope of work-based learning
|
| * | | | | The characteristics of "best" health work-based learning programs
|
| * | | | | The characteristics of "best" other work-based learning programs
|
| * | | | | Support for work-based learning
|
| * | | | | Institutional characteristics
|
| * | | | | Work-based learning policy recommendations
|
To address the primary research objective of this study, survey research
design was conducted. Data was collected with a mail questionnaire
completed by respondents from U.S. two-year colleges. This section of the
study presents a discussion of the population for the study, the data
collection instrument and procedures, and the approaches taken to analyze the
data.
The study attempted a census of all two-year colleges (junior, technical, and
community) in the United States as of September 1, 1993. The census design was
used to ascertain the scope of work-based learning occurring nationwide as well
as to give all U.S. two-year colleges the opportunity to nominate their "best"
work-based learning programs. The sampling frame for the study was obtained
from three sets of mailing labels totaling 1,036 names of two-year college
presidents from the American Association of Community Colleges (AACC). On
September 3, 1993, mail questionnaires were sent to each of 1,036 two-year
college presidents in the United States. Following multiple follow-up
procedures (explained further in the section on "Questionnaire
Administration"), a total of 505 surveys were returned as of December 31, 1993,
for a response rate of 48.7%. Of these, 51 were not usable because they were
blank--usually with the comment that the college did not have a work-based
learning program--or they were only partially completed, again because the
college indicated it did not have a work-based learning program. Consequently,
the final version of the data set contained 454 cases.[1]
The following perspective, shared by Dr. Ellen Dran (1994) of the
Northern Illinois University Center for Governmental Studies, the organization
subcontracted to carry out administration of the questionnaire, is helpful in
understanding the response rate for this study:
The 49% response rate for this study should be considered
successful. Schools are heavily surveyed and to get 505 colleges to respond to
such a long questionnaire is difficult. Also, based on the [telephone] calls
we made to nonrespondents and calls by some colleges to us, we suspect that
some of the nonrespondents did not have WBL programs and therefore did not
think it necessary to return the questionnaire. . . . Probably the most
important cause of nonresponse was the fact that the questionnaires were sent
to each institution's president, asking that they be forwarded to the
appropriate office. Based on our chaser phone calls, it appears that many of
the questionnaires were "lost" in the presidents' offices. . . . Finally,
comments over the telephone and on the questionnaires themselves indicated that
the length of the survey and confusion about terms (especially duplicated and
unduplicated head counts) were intimidating and probably contributed to
nonresponse. Also, some schools apparently counted themselves out because they
did not think their programs met the criterion of using "new and creative
strategies" as indicated on pages 3 and 7 of the questionnaire. (Dran, 1994,
pp. 1-2)
Since the survey attempted a census, and since there
were not that many questionnaires returned as partially completed, it was not
possible to compare results for colleges with and without work-based learning.
Consequently, the extent to which results can be generalized to the entire
population of U.S. two-year colleges is unknown. Unfortunately, neither our
project staff, the panel of experts, nor the practitioners involved in the
pilot test anticipated that a sizable proportion of two-year colleges might
have few or no work-based learning programs, contributing to a substantial
pattern of nonresponse. Had this pattern been anticipated, the researchers
might have elected to undertake a stratified, random sample of all U.S.
two-year colleges to enhance results pertaining to scope of work-based learning
activities. As it was, the study contributed to an extremely rich database
portraying self-nominated work-based learning programs from two-year colleges
throughout the United States.
A mail questionnaire was developed for this study based largely on information
collected via previous library, survey, and field-based research conducted by
the authors. The questionnaire asked a respondent designated by each college
to provide information in the following areas: (1) the scope of work-based
learning occurring across the college's curriculum, (2) the characteristics of
the college's "best" work-based learning program in a health-related
area, (3) the characteristics of the college's "best" work-based
learning program in a nonhealth area, (4) the level of support for work-based
learning from various stakeholder groups, (5) the general characteristics of
the institution, and (6) policy recommendations to help foster additional
work-based learning in the two-year college environment (see Figure 1).
Figure 1
Summary of Work-Based Learning in the Two-Year College
Questionnaire Sections and Items.
| Questionnaire Parts | Items
|
| Part One:
Scope of Work-Based Learning
| * Institutional head count enrollment
* Enrollment and estimated number of students in work-based learning
by major curriculum area
* Occupational and academic programs which required work-based learning
|
| Part Two:
Health Work-Based Learning Program
| * Name of "best" health work-based learning program
* Qualities of the program * Year first implemented
* Number of students in FY93 * Approximate number of hours in workplace
* Approximate number of full- and part-time faculty
* Percent of health-care providers participating in program were small,
medium-sized, or large
* Whether formally part of Tech Prep
* Type of work-based model used * Program components used
* Location of primary responsibility for program components
|
| Part Three:
Other Work-Based Learning Program
| * Name of "best" nonhealth work-based learning program
* Qualities of the program
* Year first implemented
* Number of students in FY93
* Approximate number of hours in workplace
* Approximate number of full- and part-time faculty
* Percent of employers participating in program were small, medium-sized, or
large
* Whether formally part of Tech Prep
* Type of work-based model used
* Program components used
* Location of primary responsibility for program components
|
| Part Four:
Support for Work-Based Learning
| * Barriers to the growth of work-based learning
* Level of support for work-based learning programs
|
| Part Five:
Institutional Characteristics
| * FTE enrollment for FY93
* Whether enrollment is increasing, remaining stable, or decreasing
* Number of full-time faculty in FY93
* Approximate number of part-time faculty in the fall term of FY92
* Percentage of students enrolled in transfer, occupational, or adult
curriculum
* Whether financial resources are increasing, stable, or decreasing
* Whether the college community environment is rural or small town, suburban,
or urban
|
| Part Six:
Work-Based Learning Policy Recommendations
| *
Recommend ways that local, state, or federal governments could encourage growth
of work-based learning programs.
|
In the two sections of the survey that asked respondents to describe their
"best" programs, the following criteria were designated: (1) a formal
structure linking work-based and college-based learning; (2) a proven track
record based on existing evaluation data; (3) a fully operational program with
evidence of commitment by the college and local employers; and (4) the
existence of new and creative strategies in any of the areas of curriculum and
instruction, program administration, and/or partnerships between education,
business, labor, or other organizations. (See Appendix for a copy of the mail
survey instrument.)
Validity
To ensure the content validity of the instrument, a panel of experts
reviewed a draft of the instrument. Based on feedback from this panel, the
questionnaire was revised and disseminated to approximately twenty members of
the National Council for Occupational Education (NCOE) advisory board for a
pilot test. Several relatively minor modifications were made to the mail
questionnaire based on feedback received from these individuals, including
rewording questions or response categories. One major change based on the
group's feedback was to ask for nominations of programs the respondent
institutions considered "best" separately for the health and nonhealth
curriculum areas. This modification was made because of concerns raised about
two-year colleges' nominations being predominantly in a health field,
specifically in nursing or nursing-related occupations. By creating both a
health and nonhealth section, we could ensure that results would be obtained on
programs in nonhealth curriculum areas, an important consideration because of
the intent of this study to cross two-year college curricula (i.e., transfer,
occupational-technical, and so forth.)
Reliability
The Cronbach's alpha reliability coefficient was calculated for the
two subscales used in the survey. Regarding the first of the two subscales,
respondents were asked to indicate the extent to which twenty barriers could
slow the growth of work-based learning in their own college. A six-point scale
was used to indicate the impact of growth on work-based learning, ranging from
none (1) to very major (6). The Cronbach's alpha for this
subscale was .94. This indicates that the subscale of barriers to work-based
learning was highly reliable.
The second subscale focused on the level of support for work-based learning
currently being received from fourteen groups (i.e., stakeholder groups),
although that particular language was not used in the questionnaire so as to
not confuse respondents with potentially unfamiliar terms. Respondents were
asked to indicate if the level of support was poor (1), fair (2),
good (3), excellent (4), and not applicable (9). The
Cronbach's alpha for this subscale was .92. Again, the subscale provided
highly reliable indicators of the level of support of various groups toward
work-based learning.
Administration of the mail questionnaire occurred in several phases based on a
modified version of the total survey design method of Dillman (1979). First,
the questionnaire, a cover letter, and a pre-addressed, stamped envelope were
mailed on September 3, 1993, to the total sample of 1,036 two-year colleges.
At that time, each college president was given the following instructions:
"Your college has been selected to be part of our study. We ask your
assistance in getting the questionnaire to the person in your institution who
is most knowledgeable about work-based learning programs in operation during
the 1993 fiscal year. Often that person is the occupational dean, but not
always." The presidents were given contact names and phone numbers if they had
questions about who to select to complete the questionnaire. Respondents were
asked to complete the instrument and return it by September 24, 1993.
On September 13, a postcard was mailed to all nonresponding colleges. On
September 20, chaser telephone calls began to a subsample of nonrespondents,
asking them to complete and return the survey. By the conclusion of the data
collection period, 666 schools were contacted with these chaser calls. On
October 6 and 7, a second copy of the questionnaire, a cover letter, and
pre-addressed and stamped envelope were mailed to nonrespondents. A total of
732 questionnaires were mailed during this phase of the data collection
process. Additional questionnaires were mailed when requested. All
questionnaires received through December 31, 1993, were included in the
analysis of data for this project. Again, 454 usable questionnaires resulted
from this process and provided the basis for findings presented in this report.
Data obtained from this study were coded and entered into a spreadsheet package
and analyzed with Statistical Package for the Social Sciences (SPSS) for
the Macintosh. Coding of closed-ended items was relatively straightforward,
usually following the responses on the questionnaire itself. However, Parts
Two and Three of the survey where respondents were asked to identify a
work-based learning program that met specified criteria required more extensive
coding. For these sections, the inventory of the Dictionary of Occupational
Titles (DOT) was used to categorize nominated work-based learning
programs in health and nonhealth areas. In some cases, similar DOT
codes were combined to create larger categories; however, where possible, the
original DOT codes were used to classify programs. Based on the
DOT coding scheme, we were able to identify 21 separate types of health
programs and 29 separate types of nonhealth or "other" programs.
Other open-ended questions such as the ones found in Parts Two and Three and
the question asking for respondents to provide policy recommendations in Part
Six were content analyzed. The procedure used was an inductive content
analysis (Guba & Lincoln, 1985; Patton, 1980). In this process members of
the project staff read and reread the open-ended responses independently to
identify major themes thought to portray the data in a meaningful and
comprehensive way. In cases where themes were coded and classified differently
by the project staff, discrepancies were reviewed and consensus was reached on
the themes, classification scheme, and labels used to represent the data.
Finally, it is important to point out that, as would be expected with a
relatively large dataset such as this one, there were deviations in response
rates to the various sections and items of the survey. To be able to use as
many questionnaires as possible for the statistical analysis, we included a
very large percentage of all of the questionnaires returned by respondents.
This decision resulted in the inclusion of some questionnaires that contained
varying amounts of missing data. Consequently, throughout the findings and
discussion section of this report, when the number of respondents varied
substantially from the number in the total sample of 454 cases, that number is
reported for tables and/or cells. The Appendix provides aggregated responses
to the entire survey on an item-by-item basis.
This section of the report provides a discussion of the survey results
according to the major sections of the questionnaire beginning with
institutional characteristics (Part Six). Then, findings regarding the scope
of work-based learning (Part One) are presented followed by a description of
health and nonhealth programs (Parts Two and Three) that colleges nominated as
indicative of their colleges' "best" work-based learning programs. Next,
results from Part Four of the survey are discussed in relation to the barriers
to growth of work-based learning and level of support for such programs from
various stakeholder groups. Finally, respondents' recommendations for ways
local, state, and federal governments could encourage the growth of work-based
learning are presented.
A series of questions sought to identify the characteristics of the two-year
colleges responding to the survey instrument. The intent of the questions was
to identify characteristics of two-year colleges in the United States that
operate work-based learning programs in order to provide a context for
interpreting all other survey results. Information concerning the size of the
responding institutions was sought by asking for an institution's total
head-count enrollment for fiscal year 1993 (FY93) as well as full-time
equivalent (FTE) enrollment for FY93. Table 1 portrays the head-count
enrollment patterns of the responding colleges.
Table 1
Student Head-Count Enrollment of Two-Year Colleges (FY93)
|
Head-Count Enrollment by 1,000s
| Number of Colleges
| Percent of Colleges
|
|
| Up to 4,000 | 127 | | | 32%
|
| 4,001 to 8,000 | 77 | | | 19
|
| 8,001 to 12,000 | 62 | | | 16
|
| 12,001 to 16,000 | 29 | | | 7
|
| 16,001 to 20,000 | 23 | | | 6
|
| 20,001 to 24,000 | 20 | | | 5
|
| 24,001 to 28,000 | 14 | | | 4
|
| 28,001 to 32,000 | 12 | | | 3
|
| 32,001 to 36,000 | 5 | | | 1
|
| 36,001 to 40,000 | 4 | | | 1
|
| 36,001 to 44,000 | 5 | | | 1
|
| 44,001 & over | 13 | | | 3
|
|
| n = 430
|
Results show that approximately 50% of the colleges had enrollments of less
than 8,000 head-count. Approximately one-half of the responding colleges
identified themselves as being in rural or small town community environments
which corresponds with the smaller size of the colleges reported in Table 1 and
also in Table 2. Only 20% reported being located in an urban area.
Aggregating all the institutions' head-count enrollments, the average for
two-year colleges responding to this questionnaire was 12,402
(SD=13,245.6) The wide variation in student enrollments is evident in
the range of head-count enrollments reported by responding institutions (i.e.,
a minimum of 150 students and maximum of 77,086).
Table 2 presents enrollments of the two-year colleges by student FTE
enrollment. As in Table 1, the largest percentage of colleges reported
enrollments at the lower end of the scale. In the case of FTE enrollment,
one-third of the responding colleges had FTE enrollments of 2,000 or below;
over 60% had enrollments of 4,000 FTE or below. The mean of the size of the
institutions by FTE enrollment was 5,307. Again, the variation in enrollment
figures is evident from the standard deviation of 6,729 as well as a minimum of
6 and maximum of 59,000 FTE student enrollments for responding two-year
colleges. When asked what change had occurred in enrollment over the past two
fiscal years, nearly 57% of the institutions reported that FTE enrollments had
increased by more than 2% annually. Another 37% indicated FTE enrollments were
unchanged and only 6% said their FTE enrollments had decreased by more than 2%
annually during the past two fiscal years.
Findings regarding change in FTE enrollments are particularly interesting in
light of other findings of the study regarding recent changes in resources.
When asked whether financial resources to support the college had been
increasing, stable, or decreasing during the past two years, approximately 42%
reported that financial resources had decreased. Another 38% said financial
resources had remained stable and only 20% reported resources had increased.
These results suggest a potentially troubling trend: As enrollment demands
upon nearly 60% of the responding colleges have increased, a sizable proportion
of these schools have also experienced declining financial resources. If this
trend continues, it could create difficulty for any new educational innovation,
including new or updated work-based learning programs. Later in this report
when barriers to the establishment of work-based learning programs are
described, readers should note that three of the highest rated barriers to the
growth of work-based learning have to do with financial resources.
Table 2
Student FTE Enrollment of Two-Year Colleges (FY93)
|
| FTE Enrollment by 1,000s
| Number of Colleges
| Percent of Colleges
|
|
| Up to 2,000 | 130 | | | 33%
|
| 2,001 to 4,000 | 113 | | | 28
|
| 4,001 to 6,000 | 62 | | | 16
|
| 6,001 to 8,000 | 24 | | | 6
|
| 8,001 to 10,000 | 19 | | | 5
|
| 10,001 to 12,000 | 8 | | | 2
|
| 12,001 to 14,000 | 10 | | | 3
|
| 14,001 to 16,000 | 8 | | | 2
|
| 16,001 to 18,000 | 9 | | | 2
|
| 18,001 to 20,000 | 2 | | | 1
|
| 20,001 to 22,000 | 2 | | | 1
|
| 22,001 to 24,000 | 3 | | | 1
|
| 24,001 & over | 8 | | | 2
|
|
| n = 417
|
The survey also sought to discover the nature of the missions of the
responding two-year colleges by asking respondents to indicate the percentage
of their student enrollment in the following three basic types of education:
(1) transfer or college parallel; (2) occupational, technical, or career
(including commercial and industrial) training; and (3) adult, continuing, or
basic education. Results show that by calculating a mean for all responding
institutions, the transfer or college parallel area and occupational,
technical, or career areas were quite similar with 37% (SD=21.5) and 41%
(SD=20.3), respectively. A smaller percentage of students were enrolled
in adult, continuing, or basic education (22%; SD=19.4). These results
suggest that, on average, institutions enrolled roughly the same number of
students in transfer and occupational-technical curricula, accounting for
nearly 80% of their total student enrollments.
An important focus of this study was to determine the scope of work-based
learning conducted by U.S. two-year colleges in terms of the types of programs
and student enrollments. This goal included determining what percentage of the
overall education mission of colleges included work-based learning. To provide
a focus for what was meant by work-based learning, the beginning section of the
questionnaire prominently displayed the following definition:
By work-based learning (WBL) programs, we mean instructional programs that
deliberately use the workplace as a site for student learning. WBL programs
are formal, structured, and strategically organized by instructional staff,
employers, and sometimes other groups to link learning in the workplace to
students' college-based learning experiences. WBL programs have formal
instructional plans that directly relate students' WBL activities to their
career goals. These WBL experiences are usually but not always college-credit
generating. Instructional programs that involve youth apprenticeships,
clinical experiences, school-based enterprises, and formal registered
apprenticeships are examples of WBL programs we are seeking to learn more about
in this study.
Question two of the survey asked respondents to estimate both the numbers of
students (by head-count) in predominant curriculum areas and the number of
students who were in work-based learning programs within each of the curriculum
areas (see Table 3). In the survey, the major curriculum areas were defined as
follows:
Occupational-technical such as health, business and office,
technologies, agriculture, and vocational programs.
Transfer and liberal arts such as mathematics, fine and applied arts,
and humanities.
Developmental/basic studies such as remedial courses, learning skills,
and human development.
Community and continuing education including adult education, lifelong
learning, and extension programs.
Customized or contract training focusing on technical, academic, or
managerial areas for local business and industry.
In addition, respondents could indicate other major curriculum areas and
provide enrollment figures similar to those reported for the previous
categories.
Table 3
Head-Count Enrollment and Work-Based Learning Enrollment in
Major Curriculum Areas (FY93)
|
| Head-Count Enrollment
| Number of Students in WBL
|
Major Curriculum Area
| n | Mean | SD
| n | Mean | SD
| Percent of Students in WBL
|
|
Occupational- Technical
| 346 | 4,695 | 6,662
| 346 | 826 | 1,485 | 17.6%
|
Transfer & Liberal Arts
| 84 | 6,346 | 11,048
| 84 | 499 | 1,936 | 7.9
|
Developmental & Basic Studies
| 32 | 3,688 | 6,633
| 32 | 470 | 1,046 | 12.7
|
Community & Continuing Education
| 60 | 5,018 | 18,061
| 60 | 1,409 | 5,112 | 11.0
|
Customized or Contracted Training
| 107 | 1,596 | 2,724
| 107 | 877 | 1,809 | 54.9
|
|
Note: This table contains only the cases where both head-count
enrollment and work-based learning enrollment were provided for major
curriculum areas. The difference between the number of cases in this table and
the total sample of 454 cases is attributable to respondents' indicating zero
(0) enrollments in the major curriculum areas (including work-based learning
enrollments) as well as unknown or missing information.
Results in Table 3 show the head-count enrollment and number and percentage of
students in work-based learning for each major curriculum area. Results are
reported for only those cases where both the head-count enrollment and number
of students in work-based learning were provided by respondents. Therefore,
this table represents the scope of work-based learning by major curriculum area
only where colleges also reported having some level of work-based learning. If
zero (0) students were reported to be in a major curriculum area and/or none
were reported to be in work-based learning, or if either of these estimates was
unknown or missing, the cases were dropped. Consequently, findings reported in
Table 3 should not be generalized for all respondents, only those who were
known to have some level of work-based learning within the specified curriculum
areas. Interestingly, this exercise revealed that a potentially large
percentage of institutions had no students involved in work-based learning, had
no measure of student involvement, or simply could not provide data for some
unidentified reason. Consequently, it was not possible to provide
information regarding "scope" of work-based learning across various major
curriculum areas for the entire population of U.S. two-year colleges.
Given that, evident from Table 3 is the preponderance of work-based learning
in career-related curriculum areas. Slightly over 75% of respondents provided
data regarding student head-count enrollment and work-based learning enrollment
for the curriculum area of occupational-technical (vocational) education.
Results suggest that for responding institutions, an average of 18% of
vocational students were enrolled in work-based learning in FY93. Although
this percentage is not particularly high, these results confirm the National
Assessment of Vocational Education (NAVE) (1994b) finding that work-based
learning is occurring fairly regularly at some level within the vast majority
of two-year colleges in the United States. NAVE (1994b) described two-year
colleges as providing "a variety of options in the delivery of job-related
instruction" (p. 143) and actively engaged in various partnerships with local
employers. When examining co-op programs, NAVE reported that 69% of public
two-year postsecondary schools had co-op programs serving 81,000 students (2%
of all students at those institutions). When assessing apprenticeship, NAVE
reported that 25% of public two-year postsecondary institutions had registered
apprenticeship programs with a median enrollment of 48 students. Far fewer had
youth apprenticeship programs: only 26 two-year institutions in the nation
reported having such programs, and only one-half of these programs reported
having students enrolled.
Beyond the major curriculum area of occupational-technical education, only a
small proportion of responding colleges provided both head-count enrollments as
well as estimates of the number of students in work-based learning in any of
the remaining major curriculum areas. Based on responses from only 25% of the
two-year colleges responding to the survey, a curriculum area with a high
percentage of students in work-based learning is customized or contract
training with an average of 55% of students reportedly involved. Finding such
a high percentage of students in contract training who were also participating
in work-based learning is notable because this type of education has been
neglected by current policy on school-to-work or vocational education. Rather,
the federal legislation concentrates on assisting youth not bound for four-year
college to transition into other postsecondary education or workforce
opportunities. Adult training or retraining via contracts with local business
and industry appears to be an area growing in importance for many of the
nation's two-year colleges that needs to be addressed by new federal
legislation on school-to-work or vocational education (Jacobs & Bragg,
1994).
Still fewer colleges provided data on head-count enrollment and work-based
learning student participation for the major curriculum areas of transfer and
liberal arts, developmental and basic studies, or community and continuing
education. Although the exact percentage is unknown, results indicate that at
least some of the responding institutions did not provide work-based learning
for students in any of these major curriculum areas. Of those that did, only
8% of students in transfer programs were reported to be in work-based learning.
In addition, less than 13% of students in developmental and basic studies and
11% of students in community and continuing education were reportedly enrolled
in work-based learning in responding institutions. These figures project a
rather limited use of work-based learning among curriculum areas outside of the
traditional career-oriented areas of two-year colleges, a finding that is not
particularly surprising given the focus of many of these units on the academic
preparation of students for further postsecondary education.
To summarize, probably most importantly, results indicate that many two-year
colleges are not accustomed to classifying and counting students based on their
involvement in work-based learning. This is evident because many responding
institutions were unable to provide information on the incidence of student
involvement in work-based learning, particularly in curriculum areas outside of
vocational education. If two-year colleges were to expand the notion of
work-based learning throughout the entire curriculum, it is apparent that the
parts with some foothold are in the occupational-technical education and
customized training areas. Involving more vocational program areas would be a
logical extension of what has already occurred in many two-year colleges. The
extent to which other curriculum areas such as transfer developmental, or
continuing education would have interest or expertise to expand work-based
learning is unclear. Although, as the next section will indicate, sometimes
work-based learning is mandated in an academic discipline in a particular
two-year college, suggesting expansion of the concept into transfer or other
curriculum areas is feasible.
Programs Requiring Work-Based Learning
Question three sought to discover which programs in two-year colleges
require work-based learning for students. Table 4 shows program areas as well
as average enrollments for the 418 colleges responding to this particular
question. Note that the question limited responses to program areas that
require work-based learning, not just those providing a work-based
learning option or advocating such experiences. Therefore, these responses
should not be viewed as indicative of general student participation rates for
the specified program areas. Rather, they provide an indication of the
incidence in which specific curriculum areas mandate student
participation in work-based learning and the average enrollment for such
programs.
Table 4 shows the number of colleges indicating that student majors are
required to participate in a work-based learning component in 58 selected
program/discipline areas (listed in alphabetical order). For each program,
Table 4 also displays a mean enrollment and standard deviation. (Note that
most of the standard deviations are high, indicating a wide range in the number
of students in the selected programs at responding colleges.)
Overall, of all the respondents to this particular question, only a small
percentage reported requiring students to participate in work-based learning in
any of the selected program areas outside of nursing and nursing-related
occupations. In this area, however, 63% of the responding institutions
indicated they offer nursing and nursing-related occupations that require
work-based learning. (It is presumed that most of the other 36% of responding
institutions do not offer nursing or nursing-related programs since work-based
learning is mandated by professional licensing boards for nursing occupations.)
In addition, the average enrollments of nursing and nursing-related occupations
are quite large in relationship to most other program/discipline areas.
Nursing and nursing-related programs had an average enrollment of 344 students,
indicating that a large number of students were participating, at least among
responding institutions.
Table 4
Frequency of Selected Programs Requiring Work-Based Learning and Enrollments
by Program Area (FY93)
| | Enrollment | | | Enrollment
|
| n | Program Area | Mean | SD
| n | Program Area | Mean | SD
|
| 48 | Accounting | 129 | 145
| 12 | Interior design | 52 | 37
|
| 23 | Agribusiness & management | 55 | 35
| 57 | Law enforcement | 176 | 165
|
| 12 | Architectural design & technololgy | 72 | 58
| 8 | Lifesciences | 434 | 477
|
| 63 | Automotive mechanics | 80 | 88
| 49 | Marketing | 68 | 87
|
| 8 | Aviation & space technology | 94 | 58
| 10 | Mechnical design technology | 53 | 28
|
| 13 | Banking & finance | 36 | 23
| 14 | Media & graphic arts | 88 | 88
|
| 52 | Business administration & management | 283 | 403
| 14 | Metalworking | 58 | 46
|
| 10 | Biotechnology | 46 | 31
| 15 | Microcomputers | 95 | 78
|
| 8 | Brick, block, & stonemasonry | 33 | 20
| 9 | Natural resources & environmental sciences | 55 | 71
|
| 25 | Carpentry | 58 | 75
| 262 | Nursing & nursing-related occupations | 344 | 447
|
| 106 | Child care & development | 126 | 133
| 29 | Occupational therapy | 112 | 118
|
| 10 | Communications | 41 | 29
| 54 | Office management | 126 | 133
|
| 21 | Computer-aided design & drafting | 72 | 73
| 4 | Personnel management | 27 | 17
|
| 7 | Computer integrated manufacturing | 34 | 26
| 11 | Photography | 42 | 36
|
| 33 | Computer technology | 154 | 196
| 38 | Physical therapy | 77 | 86
|
| 22 | Construction | 67 | 72
| 16 | Plumbing | 94 | 108
|
| 16 | Corrections | 107 | 107
| 9 | Printing | 64 | 36
|
| 47 | Dental hygiene | 62 | 56
| 1 | Public utilities management | 5 | 0
|
| 30 | Education | 159 | 187
| 7 | Quality control, management, & improvement | 46 | 23
|
| 40 | Electronics & electronic technology | 110 | 121
| 81 | Radiologic technology | 80 | 100
|
| 76 | Emergency medical technology | 122 | 161
| 15 | Realestate | 54 | 54
|
| 29 | Fashion merchandising | 34 | 30
| 76 | Respiratory therapy | 59 | 67
|
| 22 | Firefighting | 137 | 166
| 18 | Retailing | 57 | 53
|
| 33 | Food production | 95 | 92
| 52 | Social work/social services | 169 | 147
|
| 7 | Forestry | 43 | 20
| 2 | Statistical process control | 22 | 12
|
| 18 | Heating, air condition, & refrigerator | 63 | 77
| 6 | Telecommunications technology | 24 | 14
|
| 13 | Humanities | 247 | 224
| 9 | Tool& die making | 117 | 114
|
| 19 | Horticulture | 79 | 72
| 27 | Welding, brazing, & soldering | 35 | 34
|
| 43 | Hotel/motel management | 73 | 63
| 111 | Other: | 83 | 134
|
| 25 | Information processing | 241 | 319
|
n = 418
Not surprisingly, other program areas with the highest incidence of required
work-based learning are programs that link a mandatory workplace learning
experience to occupational credentialling. Therefore, other program areas that
require work-based learning are child care and development (including early
childhood education) and other health occupations. Table 5 presents the
findings by rank order of incidence in responding institutions of the top
twenty program/discipline areas that require work-based learning. Note that
besides nursing and nursing-related occupations, child care and development
programs requiring work-based learning were reported to occur in approximately
25% of responding institutions. All other program/discipline areas were
reported less frequently.
Note that four of the top five programs are health-care related and five of
the top fifteen are related to business occupations. Generally, enrollments in
some of these areas were quite large in comparison to other program areas. For
example, the average enrollment in nursing, law enforcement, business
administration and management, social work/social services, and computer
technologies was greater than 150 students. On average, the program areas of
child care and development, emergency medical technician, office management,
accounting, and electronics and electrical technician all enrolled more than
100 students, on average.
In addition to the twenty program/discipline areas shown in Table 5, some
program areas that rarely require work-based learning have relatively large
average enrollments (again, see Table 4). For example, although only eight
institutions reported requiring work-based learning for students enrolled in
life sciences programs, the average enrollment for these programs was 434.
Similarly, an average of 247 students were reported to be enrolled in
humanities programs that require work-based learning in thirteen responding
institutions. These results provide evidence that work-based learning has been
applied to curriculum areas outside of career-related areas. In these cases,
the number of transfer or liberal studies students was quite large. Other
program areas with average enrollments over 100 students were corrections,
education, firefighting, information processing, occupational therapy, and tool
and die making. Although these programs appear less frequently in responding
institutions, where present, they enroll a sizable number of students in
work-based learning opportunities.
Table 5
Top Program Areas Requiring Work-Based Learning Based on Frequency of
Occurrence in Two-Year Colleges (FY93)
|
| Program | Number | WBL Enrollment (Mean)
|
|
| Nursing & nursing-related occupations | 262 | | 344 | | |
|
| Child care & development | 106 | | 126
|
| Radiologic technology | 81 | | 80
|
| Respiratory therapy | 76 | | 59
|
| Emergency medical technology | 76 | | 122
|
| Automotive mechanics | 63 | | 80
|
| Law enforcement | 57 | | 176
|
| Office management | 55 | | 126
|
| Business administration & management | 52 | | 283
|
| Social work/social services | 52 | | 169
|
| Marketing | 49 | | 68
|
Carpentry,bricklaying, plumbing (Traditional apprenticeships)
| 49 | | 67
|
| Accounting | 48 | | 129
|
| Retailing & fashion merchandising | 47 | | 43
|
| Dental hygiene | 47 | | 62
|
| Hotel management | 43 | | 73
|
| Electronics & electronics technology | 40 | | 110
|
| Physical therapy | 38 | | 77
|
| Computer technology | 33 | | 154
|
| Food production | 33 | | 95
|
|
n = 418
Given these results, the two areas of health-care (e.g., nursing, radiologic
technology, respiratory therapy) and business curriculum (e.g., office
management, business administration, marketing) appear to be the most
predominant program/discipline areas requiring students to participate in
work-based learning. Other curricula may encourage or offer such experiences
as well; however, this study focused on the incidence and scope of required
work-based learning occurring in 58 program/discipline areas. Beyond the
specific area of nursing and nursing-related occupations, the predominant
program area requiring work-based learning was child care and development.
Other programs that were reported to require work-based learning by a more
modest number of responding institutions included automotive mechanics; law
enforcement; traditional apprenticeship areas such as carpentry, bricklaying,
and plumbing; hotel management; electronics; computer technology; and food
production.
Also of note is what is not in the top listing of programs requiring
work-based learning. Few programs related to manufacturing such as metal
working, mechanical design, and tool and die making were reported to require
students to participate in work-based learning. Of further interest was the
relatively low incidence with which high tech programs were reported to require
student majors to have work-based learning experiences. For example,
computer-aided design and drafting, computer integrated manufacturing, and
telecommunications were identified by 21 or fewer institutions as requiring
student majors to have work-based learning activities. The reasons for the low
incidence of such programs in responding institutions is unknown; however, the
authors speculate there could be a number of factors related to the phenomenon.
For example, the nation's slow economic climate throughout the past decade may
have limited or stifled student opportunities in work-based learning. In
addition, other changes in the ways particular businesses and industries
operate may have precluded their participation in educational programs such as
these. Further, competing priorities within two-year institutions may have
limited work-based learning in various curriculum areas. Certainly, the
situation is complex and no simple conclusion can be drawn from these results.
More research is needed to fully understand the nature of work-based learning
that is either required or encouraged across the various program areas of U.S.
two-year colleges.
Parts Two and Three of the survey delved into selected program areas that
utilize work-based learning within the two-year college. In Part Two, the
instrument contained questions concerning health curriculum areas that involve
work-based learning. In Part Three, the same request was made regarding a
nonhealth program area. In both parts, respondents were asked to choose the
program that best met the following criteria:
Formal Structure --The program has formal instructional plans that
deliberately link workplace learning to students' college-based learning
experiences.
Fully Operatural --Faculty, local employers, and other supporting
organizations are formally committed to carrying out these work-based learning
experiences for students.
Proven Track Record--The program has successfully prepared students to
reach their career and academic goals; evaluation data exists to support claims
of program effectiveness.
Innovative Approaches--The program uses new and creative strategies in
curriculum and instruction, program administration, and partnerships between
education, business, labor, and other organizations.
Of all responding institutions, 399 nominated a health work-based learning
program. Based on classifying open-ended responses utilizing DOT codes,
the health program nominated most often was the area of nursing, including
licensed practical nurse (LPN), registered nurse (RN), and associate degree
nurse (ADN). Table 6 shows that 220 institutions nominated nursing as the
program that best fulfilled the criteria provided in the survey. The area of
nursing assistant was the program area with the second highest number of
nominations. Taken together, the two program areas of nursing and nursing
assistant accounted for approximately 76% of the nominations in the area of
health work-based learning. Other health program areas that were nominated
were radiologic technology (22 institutions), respiratory therapy technician
(14 institutions), and medical laboratory technician (13 institutions). None
of the other health programs was nominated by more than 10 institutions.
When asked to nominate programs outside of the health fields according to the
four criteria specified in the questionnaire, 322 respondents complied. A wide
range of program areas was provided by respondents, with the general category
of business and office technology topping the list of nominated programs. A
total of 41 institutions nominatedprograms that fit into this particular
category (based on DOT codes). The second largest category of "other"
work-based learning programs was that of automotive technology with 34
nominations. Engineering technologies was next with 24 nominations. Programs
labeled "cooperative education" or "cooperative work experience" were specified
by 21 institutions and agricultural-related occupations by 20 institutions.
All other categories received fewer than 20 nominations. These program areas
were very wide ranging, including such areas as traditional adult
apprenticeships (e.g., carpentry, electrical), human services, business
administration, law enforcement, child care, horticulture, travel and tourism,
and contract training.
Table 6
Frequency of Health Programs Nominated as "Best" by Two-Year Colleges
|
| Health Program | Number of Colleges
|
|
| Nursing (LPN, RN, ADN) | 220 | |
|
| Nursing assistant | 82
|
| Radiologic technology | 22
|
| Respiratory therapy technology | 14
|
| Medical lab technology | 13
|
| Physical therapy technology | 9
|
| Dental assistant | 6
|
| Allied health | 4
|
| Digital medical sonography technology | 4
|
| Unknown (program area unspecified or unclear) | 4
|
| Dental laboratory technology | 3
|
| Emergency medical technology | 3
|
| Medical records technology | 3
|
| Surgical technology | 3
|
| Veterinarian assistant | 2
|
| Dietetic assistant | 1
|
| Electroencephalography | 1
|
| Medical secretary | 1
|
| Nursing home assistant | 1
|
| Opthalmic dispenser | 1
|
| Otho/Prosthetic technology | 1
|
| Pharmacy assistant | 1
|
|
n = 399
In the case of either the health or nonhealth programs, respondents were asked
to describe the qualities that led them to select the particular program as one
of their institutions "best" work-based learning programs. The length and
content of the written explanations for selecting particular programs were
diverse, but fell into four general groups. First, a small percentage of
respondents indicated that the nominated program was the "only WBL program"
offered and said so in a sentence or less. A second group stated that the
program selected met the criteria specified in the questionnaire; some briefly
restated the criteria in their own words, explaining generally how they applied
to the nominated program. A third and much larger group substantiated that at
least one of the criterion was particularly applicable to the nominated
program, providing specific examples (e.g., "proven track record" evidenced by
transfer rates, job placement rates, and so on) Finally, a fourth group gave
extensive explanations for their nominations, indicating how the selected
program fit each of the criteria. Some of these descriptions included the
following: curricular plans, contractual agreements between the workplace and
college, performance measurements, and formal articulation agreements. It was
interesting to note that of all the explanations given for selecting a
particular program (health or nonhealth), two rationale were stated repeatedly
as the basis for a program's worthiness as a "best" work-based learning
program. They were the existence of "strong college and employer linkages" and
evidence of a "proven track record."
Table 7
Frequency of Other Programs Nominated as "Best" by Two-Year Colleges
|
| Other Program
| Number of Colleges
|
|
| Business & office technology (including secretarial, data processing, &
information technology) | 41 | |
|
| Automotive technology (including mechanics, service management) | 34
|
| Engineering technologies (including aviation, biomedical, electronics, mechanics,
telecommunications) | 24
|
| Cooperative education & cooperative work experience
| 21
|
| Agricultural-related occupations (e.g., agribusiness, swine management, fisheries technology, farm
management) | 20
|
| Early childhood education, general education, & special education | 18
|
| Carpentry, electrical, masonry, & plumbing (including traditional apprentices)
| 17
|
| Business, business management, management, & business administration
| 15
|
| Human services (including social work) | 14
|
| Culinary arts & chef apprenticeship | 12
|
| Hospitality, hotel, restaurant management, & food marketing management
| 11
|
| Unknown--program area unspecified or unclear | 11
|
| Criminal justice & law enforcement | 10
|
| Accounting, banking, & finance | 9
|
| Retail, merchandising, & marketing | 9
|
| Child care & child development | 8
|
| Health-related occupations classied as "other" (e.g., veterinary technology, mortuary science,
mental health, chemical dependency) | 7
|
| Manufacturing & industrial occupations (including traditional apprentices)
| 7
|
| Horticulture | 6
|
| Legal assistant | 6
|
| Radio, TV, video/media communications, & applied graphics design technology
| 5
|
| Adult basic literacy & workplace literacy | 4
|
| Travel & tourism | 4
|
| Contract training with business | 3
|
| Interior design | 2
|
| Cosmetology | 1
|
| Grocery checker | 1
|
| Pulp & paper technology | 1
|
| Real estate | 1
|
|
n = 322
Characteristics of Nominated Work-Based Learning Programs
Once a particular program area was nominated for Part Two (health) and Part
Three (nonhealth) of the questionnaire, respondents were asked to provide more
detailed information. One question asked respondents to indicate the first
year the program was implemented. Results indicate that few nominated programs
in either the health or other (nonhealth) areas were implemented prior to 196l,
although health programs tended to be implemented before the nonhealth
programs. Nearly one-third of all nominated health programs were first
implemented between 1961 and 1969. In contrast, only about 16% of other
work-based learning programs were implemented in 1969 or earlier. Few health
programs had been started since 1990, whereas 18% of nonhealth programs had
been implemented since that time. Overall, these results suggest other
programs are newer, less mature programs; however, the vast majority of all
programs nominated, whether health or other, were implemented prior to 1990; in
fact, many were started prior to 1980.
Table 8
Year of Implementation of Nominated Health and
Other Work-Based Learning
Programs
|
Year
| Health WBL Program Percent of Colleges
| Other WBL Program Percent of Colleges
|
|
| Prior to 1961 | 4.8% | 5.6%
|
| 1961 to 1969 | 31.3 | 9.5
|
| 1970 to 1979 | 37.7 | 31.7
|
| 1980 to 1989 | 19.8 | 35.3
|
| 1990 to Present | 6.4 | 18.0
|
|
For health programs n=374; for other programs n=306.
Continuing with questions that focused on the characteristics of nominated
programs, respondents were asked to provide data to a sequence of questions:
1.
| | How many students enrolled in the program during FY93?
|
| 2.
| | | How many full- and part-time faculty were directly involved in the program
in FY93?
|
| 3.
| | | How many hours would a student have spent in the worksite by the completion
of the program?
| |
Results of these questions help to provide a clearer picture of the size and
scope of nominated programs. For example, on average, the nominated health
programs enrolled 144 students in FY93 (SD=175.5). However, enrollment
varied widely, ranging from 10 to 1,292 students, excluding an outlying case
where 4,113 students were said to be enrolled in a health work-based learning
program. The nominated nonhealth programs had a slightly larger number of
students enrolled in FY93, averaging 163 (SD=291.3). The number of
students in other (nonhealth) programs ranged from 1 to 2,423.
Whereas the average student enrollment for the nominated health and nonhealth
programs was similar, the number of faculty differed. For health programs, an
average of 7.16 (SD=6.45) full-time faculty and 7.20 (SD=8.82)
part-time faculty were reported to be directly involved. The number of
full-time faculty ranged from 1 to 50 (excluding an outlying case of 90) and
part-time faculty ranged from 1 to 60 (excluding an outlying case of 204). In
regard to other programs, an average of 2.98 full-time faculty (SD=3.23)
and 5.71 part-time faculty (SD=8.37) were reported to be directly
involved. The number of full-time faculty ranged from one (1) to 25; part-time
ranged from 1 to 80.
These results indicate that the nominated health programs had over twice the
full-time faculty as other (nonhealth) programs. Part-time faculty were also
more prevalent in health than other programs. In fact, when examining other
programs, part-time faculty were more prevalent than full-time. This
information is particularly interesting in light of the average number of hours
reported for students in the workplace upon their completion of work-based
learning. On average, health students were reported to have spent 741.0 hours
in the workplace (SD=431.2; minimum of 8 hours and maximum of 3,000) and
other nonhealth students were shown to have spent 769.6 hours
(SD=1,346.1; minimum of 10 hours and maximum of 8,000). These findings
suggest that, on average, students in nonhealth programs spend more time in
work-based learning than students in health programs and these experiences are
accomplished with fewer faculty. However, it is important to point out the
wide variability of responses concerning other nonhealth programs. Sixty
percent of respondents indicated students' work-based learning experiences
accumulated to approximately 400 hours by completion. Only 20 respondents
(7.3%) indicated nonhealth work-based learning experiences were 2,000 hours or
greater. Consequently, the disparity between faculty involvement in health and
nonhealth programs may not be as extreme as it appears on initial examination.
However, faculty capacity to support work-based learning, especially in
nonhealth program areas remains a concern.
Another question asked respondents to indicate the size of employers that
participated in the nominated work-based learning programs in FY93.
Respondents were asked to indicate the percentage of companies that were small
(fewer than 100 employees), medium-sized (100-500 employees), or large (over
500 employees). Table 9 provides a comparison of results for health and other
nominated programs. For employer groups participating with health work-based
learning programs, the largest percentage (44%) were reported to be of
medium-sized firms. The remainder of responses were fairly evenly split
between small and large companies. For nonhealth nominated programs, the
greatest percentage of respondents indicated employers were small (63%). The
remaining responses were roughly divided between medium-sized and large
companies. Overall, these results indicate that the vast majority of health
and nonhealth programs place students in work-based learning experiences with
small to medium-sized firms of less than 500 employees. Nonhealth work-based
learning programs predominantly use small companies (fewer than 100 employees)
for student placements.
Table 9
Size of Employers with Nominated Health
and Other Work-Based Learning
Programs
|
| Employer Size
| Health WBL Program Percent of Colleges (Mean)
| Other WBL Program Percent of Colleges (Mean)
|
|
| Small companies (fewer than 100 employees) | 27.6% | 63.4%
|
| Medium-sized companies (100 - 500 employees) | 43.8 | 19.0
|
| Large companies (over 500 employees) | 29.2 | 14.7
|
|
See the Appendix for the number of cases per cell.
Another key question asked respondents to choose from the five general models
of work-based learning provided in the questionnaire the one that best fit
their nominated program. Respondents could also write in a response under the
"other" category if none of the models seemed appropriate. The general model
categories were clinical experience, cooperative education, school-based
enterprise, traditional apprenticeship, and youth apprenticeship. They were
defined as follows:
Clinical experiences--Work-site learning that occurs in association with
preparation for a credential in a professional health care field.
Cooperative education--A combination of vocational coursework and work
experiences in which students earn credit working in jobs secured through
cooperative agreements.
School-based enterprise--Small businesses created and operated by
students where the college implements a real, economically viable business
venture.
Traditional formal apprenticeship--Registered with the Bureau of
Apprenticeship Training
Youth apprenticeship--An articulated curriculum linking secondary and
postsecondary education that incorporates employer-paid work experience and
guided work site learning. Completers receive recognized credentials of
occupational and academic skill mastery.
Almost all of the health work-based learning programs were identified by
respondents as using the general model of clinical experience (97%).
Cooperative education was chosen in approximately 2% of respondents' health
work-based learning programs. Another 1% chose the "other" category, typically
describing a mix of more than one model (e.g., internship and clinical
experience). No respondents identified the health programs as based on the
traditional apprenticeship, school-based enterprise, or youth apprenticeship
models.
In contrast, nonhealth work-based learning programs typically utilized the
cooperative education (co-op) model. Nearly two-thirds of all of the other
programs were described as using that particular model. Another 13% of
nonhealth programs reported using the clinical experience model, similar to
health programs. About an equal percentage (12.7%) reported using an "other"
model besides the five models given in the questionnaire for other work-based
learning programs. Often this "other" model was described as an internship
experience. Very few respondents indicated that traditional formal
apprenticeship, school-based enterprise, or youth apprenticeship were the
general model that fit their nominated nonhealth program. In attempting to
understand why these particular models were prevalent in nominated programs, it
is important to recall the criteria provided in the questionnaire. Respondents
were directed to select only those programs that were fully operational (i.e.,
with formal commitments from faculty, local employers, and supporting
organizations) and that had a formal structure and proven track record.
Consequently, programs based on the more contemporary youth apprenticeship or
the school-based enterprise models may not have been perceived to meet these
criteria. The more traditional approaches of clinical experience and co-op
were the overwhelming choices when respondents nominated either health or
nonhealth programs.
Table 10
Percent of Nominated Health and Nonhealth Programs
by Work-Based Learning Model
|
| Model
| Health WBL Program Percent of Colleges
| Other WBL Program Percent of Colleges
|
|
| Clinical experiences | 97.2% | 13.0%
|
| Cooperative education | 1.8 | 63.6
|
| Traditional formal apprenticeship | 0.0 | 6.6
|
| School-based enterprise | 0.0 | 2.2
|
| Youth apprenticeship | 0.0 | 1.9
|
| Other | 1.0 | 12.7
|
|
For health programs n=393; for other programs n=316.
To create a better understanding of how various components are implemented in
association with health and other work-based learning programs, respondents
were asked to indicate whether 29 components were a formal part of the
nominated work-based learning programs during FY93. Respondents could also
write in up to three "other" components; however, few components were listed in
the returned surveys. By including these components in the Fall 1993
questionnaire, we (the authors) attempted to determine how key elements of the
then anticipated federal School-To-Work Opportunities (STWO) law might relate
to existing two-year college work-based learning programs and models.
Subsequent developments have shown that indeed most of these elements have
become a part of the federal STWO law, and the school-based, work-based, and
school-to-work connecting components, in particular. Consequently, this
particular part of the study has provided a glimpse into how existing "best"
work-based learning programs may fit the new STWO legislation.
Overall, of the 29 school-to-work components presented in the questionnaire,
50% or more of the respondents indicated that 19 were implemented as a formal
part of health work-based learning programs. By comparison, 18 components were
indicated to be a formal part of nonhealth work-based learning programs
according to 50% or more of the respondents. The actual rankings by percentage
of respondents for all 29 components for both health and other work-based
learning programs is provided in Table 11 (based on the percentage of
respondents affirming the components for health work-based learning
programs.)
Table 11
Frequency Colleges Report Components as a Formal Part of Nominated Health
and Nonhealth Work-Based Learning Program
|
| Component
| Health WBL Percent of Colleges
| Other WBL Percent of Colleges
|
|
| Periodic evaluation of student progress
| 99.7 | | 100.0 |
|
| Coordinated classroom and workplace learning
| 99.7 | | 96.5
|
| Formal contracts or co-op agreements with institutional partners
| 96.4 | | 73.2
|
| Formal assessment, certification of skills based on individual standards
| 95.9 | | 75.3
|
| Recognized credentials of academics, occupational mastery for completers
| 94.6 | | 77.2
|
| Integrated occupational-technical & academic instruction
| 93.8 | | 57.3
|
| Formal program of career awareness, orientation, & guidance
| 90.3 | | 85.0
|
| Governing/advisory board composed of institutional partners
| 88.4 | | 84.5
|
| Rotatio of students through different jobs
| 87.8 | | 62.2
|
| Preparatory or remedial services to enable students to enter WBL
| 83.0 | | 80.5
|
| Regular consultation between workplace mentors & college faculty
| 82.4 | | 82.2
|
| Transitional services for special needs populations/at-risk students
| 73.5 | | 66.5
|
| Mentors or coaches for students in the workplace
| 69.7 | | 74.8
|
| Marketing and/or promotion of WBL programs
| 66.5 | | 76.9
|
| Donations of funding & equipment by business
| 64.0 | | 57.3
|
| Job placement for WBL graduates
| 61.6 | | 77.1
|
| Training of college faculty & staff in the workplace
| 60.0 | | 39.5
|
| Individualized student training plans
| 57.4 | | 77.6
|
| Inservice of college faculty & staff in WBL concepts
| 50.7 | | 42.1
|
| Workplace (employer-based) training centers used for WBL
| 48.8 | | 42.7
|
| Recruitment of targeted student groups
| 48.0 | | 59.0
|
| Training and credentialling of workplace mentors or coaches
| 47.0 | | 30.8
|
| Training of college faculty and staff conducted by business
| 35.3 | | 34.4
|
| Formal articulation agreements with secondary school WBL programs
| 22.6 | | 32.8
|
| Incentives to increase WBL participation by businesses, trade organizations, unions, &
community-based organizations
| 19.2 | | 33.5
|
| Guaranteed hiring of qualified graduates by particiating employers
| 13.1 | | 15.4
|
| Funded Tech Prep program
| 12.7 | | 17.4
|
| Wages and stipends for students
| 5.1 | | 69.3
|
| Entrepreneurship or small business training for students
| 4.0 | | 41.9
|
|
See the Appendix for cases per cell. Responses are rank ordered according to
the percentage of components implemented as a formal part of the nominated
health programs.
Over 90% of respondents indicated some components to be a formal part of
health work-based learning programs (that were also overwhelmingly based on the
clinical experience model) such as periodic evaluation; coordinated classroom
and workplace learning; formal contracts or cooperative agreements with
partners; formal assessment and certification of skills based on industry
standards; integrated occupational-technical academic instruction; and formal
programs of career awareness, orientation, and guidance. By comparison, only
two components were indicated by over 90% of respondents as a formal part of
nonhealth work-based learning programs (that were also primarily based on the
cooperative education model). These two components were periodic evaluation of
student progress and coordinated classroom and workplace learning.
Since a majority of components were a formal part of health and nonhealth
work-based learning programs, it is interesting to examine the components that
were not selected for each type of work-based learning program. In
regard to health work-based learning programs, entrepreneurship or small
business training and student wages or stipends were rarely provided. In
addition, guaranteed hiring was reported by few respondents in regard to either
health or other work-based learning programs. Incentives to increase
participation in work-based learning were reported by slightly less than 20% of
respondents regarding health programs and by only about one-third of
respondents regarding other programs.
In addition, few respondents reported that either health or other work-based
learning programs were receiving Tech Prep funds. Since Tech Prep funding is a
relatively recent phenomenon and the vast majority of programs were first
implemented earlier than 1990 (many programs were implemented prior to 1980, in
fact), it is not particularly surprising that few programs were receiving Tech
Prep funds. This finding may suggest, however, that there may be opportunities
to connect the Tech Prep concept (and funding) to two-year college work-based
learning programs or to modify or create new programs that better fit that
particular approach. Respondents indicated that a fairly small number of
health programs (23%) and about one-third of nonhealth programs were formally
articulated with secondary schools. Where these articulation agreements were
already in existence but Tech Prep curriculum was not fully developed, as prior
research suggests is commonplace (Bragg, et al., 1994; NAVE, 1994b), there may
be opportunity to implement the Tech Prep concept more fully.
Other components reported to be implemented by less than 50% of health or
other work-based learning programs in FY93 were training and credentialling of
workplace mentors, training of college faculty and staff by employers, and use
of workplace training centers of local employers. In addition, only 42% of
other work-based learning programs reported having a component of inservice of
college faculty and staff in work-based learning concepts. All of these
components deal with the human resources side of the innovation. Their limited
presence in either health or other programs could be detrimental to using the
various work-based learning models on a wider scale.
Finally, in regard to formal implementation of components, there were
substantial differences in the frequency with which several components were
implemented between health and other work-based learning programs. For
instance, integration of occupational-technical and academic instruction was
reported to be a formal part of 95% of health work-based learning programs but
only 57% of other work-based learning programs. The three components of formal
contracts or cooperative agreements with partners, formal assessments and
certification based on industry standards, and recognized credentials of
mastery for completers were all reported by about 95% or more of health
programs compared to approximately 75% of other programs. In addition, the
rotation of students through different jobs occurred with 88% of health
programs but only 62% of other programs. Similarly, the training of college
faculty and staff in the workplace was a part of 60% of health programs but
only 40% of other programs.
In contrast, nearly 70% of other work-based learning programs reported
offering wages and stipends for students, whereas only 5% of health programs
provided them. Entrepreneurship or small business training for students was
reported by nearly 42% of other work-based learning programs in comparison to
only 4% of health programs. Other work-based learning programs were also more
likely than health programs to have individualized student training plans, 78%
and 57% respectively. Other programs were also somewhat more likely to have
marketing and/or promotion (77%) than health programs (67%), and slightly more
likely to have mentors or coaches for students in the workplace (75%) than
health programs (70%). Many of these differences may be attributable, at least
in part, to the use of the clinical experience model for the health programs.
However, more in-depth study is needed to ascertain the nature of differences
between the types of two-year college programs (health and other) as well as
the various models used for work-based learning.
Results presented in this section are helpful in comparing and contrasting how
particular components fit the health and nonhealth work-based learning
programs. Implicit within these findings is the fact that nearly all the
health programs were reported to be based on a clinical experience model and
the majority of nonhealth programs were said to be based on a cooperative
education model. However, this comparison of models is incomplete without
delineating the nonhealth programs according to the various models selected by
respondents. Table 12 presents seven different model types along with the
frequency with which respondents reported each of 22 selected components to be
a formal part of the programs associated with these models. (Caution is
suggested in interpreting results for the school-based enterprise and youth
apprenticeship models where the number of cases is extremely low.) By examining
the relationships between models and components in this manner, it is possible
to begin to identify patterns of pedogogical, programmatic, and administrative
activity associated with each particular type of model. It is also possible to
begin to examine how particular models are likely to fit selected components of
the new STWO legislation.
Evident in Table 12 are several components implemented by nearly all programs
no matter the type of model. For instance, coordinated classroom and workplace
learning, integrated occupational-technical and academic curriculum, and
periodic evaluation of students were reported to be a formal part of over 80%
of all the models. In contrast, some components were implemented in low
frequency regardless of the model. Components where 50% or fewer respondents
indicated their implementation as a formal part of a nominated work-based
learning program were Tech Prep funding, training and credentialling of mentors
or coaches, inservice of college faculty and staff, and formal articulation
agreements with secondary schools, with the exception being the youth
apprenticeship model where approximately 83% of respondents utilizing that
model indicated this particular component to be a formal part of the
model.
Table 12
Percentage of Respondents Indicating Selected Components as a
Formal
Part of Work-Based Learning Models
|
| Component
| Clinical Health (n=382)
| Clinical Other (n-41)
| Co-op (n=200)
| School- Based Ent (n=7)
| Trad. Apprent. (n=21)
| Youth Apprent (n=6)
| Other (n=36)
|
|
| Coordinated classroom and workplace learning
| 99.5% | 100.0% | 95.0% | 100.0% | 95.2% | 83.3% | 92.5%
|
| Integrated occupational-technical and academic instruction
| 91.6 | 95.1 | 82.5 | 100.0 | 85.7 | 100.0 | 92.5
|
| Individualized student training plans | 49.5 | 80.5
| 75.0 | 85.7 | 61.9 | 50.0 | 72.5
|
| Rotation of students through different jobs | 83.7
| 61.0 | 53.5 | 85.7 | 71.4 | 66.7 | 55.0
|
| Wages or stipends for students participating in WBL
| 3.9 | 14.6 | 72.5 | 28.6 | 95.2 | 83.3 | 45.0
|
| Periodic evaluation of student progress | 100.0
| 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0
|
| Formal program of career awareness, orientation, and guidance
| 87.2 | 87.8 | 80.5 | 71.4 | 76.2 | 100.0 | 67.5
|
| Formal assessment, certification of skills based on individual standards
| 94.2 | 82.9 | 63.5 | 71.4 | 95.2 | 83.3 | 72.5
|
| Recognized credentials of academic occupational mastery for completers
| 88.7 | 78.0 | 65.8 | 71.4 | 100.0 | 66.7 | 72.5
|
| Recruitment of targeted student groups
| 47.1 | 63.4 | 59.0 | 57.1 | 52.4 | 100.0 | 55.0
|
| Preparatory or remedial services to enable students to enter WBL
| 76.7 | 78.0 | 74.5 | 71.4 | 85.7 | 66.7 | 72.5
|
| Transitional services for special needs populations/at-risk students
| 65.7 | 61.0 | 61.5 | 71.4 | 55.0 | 50.0 | 37.5
|
| Job placement for WBL graduates
| 56.5 | 53.7 | 75.0 | 100.0 | 76.2 | 66.7 | 52.5
|
| Formal articulation agreements with secondary school WBL programs
| 19.4 | 34.1 | 26.5 | 28.6 | 28.6 | 83.3 | 30.0
|
| Funded Tech Prep program
| 10.7 | 4.9 | 18.5 | 14.3 | 4.8 | 16.7 | 17.5
|
| Mentors or coaches for students in the workplace
| 66.2 | 70.7 | 71.5 | 57.1 | 85.7 | 66.7 | 70.0
|
| Training and credentialling of workplace mentors or coaches
| 41.9 | 26.8 | 21.0 | 42.9 | 47.6 | 50.0 | 37.5
|
| Inservice of college faculty and staff in WBL concepts
| 44.9 | 36.6 | 43.0 | 42.9 | 42.9 | 33.3 | 22.5
|
| Incentives to increase WBL participation by businesses, trade
organizations, unions, community-based organizations
| 14.4 | 14.6 | 26.5 | 16.7 | 61.9 | 66.7 | 32.5
|
| Formal contracts or coop agreements with institutional partners
| 95.3 | 61.0 | 75.0 | 16.7 | 90.5 | 50.0 | 60.0
|
| Governing/advisory board composed of institutional partners
| 86.1 | 80.5 | 83.3 | 100.0 | 90.5 | 83.3 | 77.5
|
| Marketing and/or promotion of WBL programs | 57.3 | 53.7
| 76.4 | 57.1 | 81.0 | 66.7 | 70.0
|
| Average percentage for all components | 62.8 | 60.9
| 63.6 | 63.2 | 72.0 | 69.7 | 59.3
| |
Finally, to obtain an overall picture of how the models related to the
selected components, the unweighted percentages for the 22 selected components
were averaged for each model (shown in the bottom line of Table 12). By
comparing the average percentages, it appears that the models were fairly
comparable in addressing the school-to-work concept as operationalized via the
22 selected components. All seven models showed an average of between 72% for
traditional apprenticeship and 59% for "other." However, some variation was
noted. Over 80% of respondents indicated that the model with the highest
average percentage--traditional apprenticeship (72%)--had 11 components as a
formal part of work-based learning programs. These components included student
wages or stipends, formal assessment and certification of skills based on
industry standards, recognized credentials of occupational and academic mastery
for completers, mentors or coaches for students in the workplace, formal
contracts, governing boards, and marketing. Incentives to increase
participation by business, labor, and others was also reported by a high
percent of respondents relative to most other models. In contrast, few
respondents indicated that traditional apprenticeship employed formal
articulation agreements with secondary schools (29%) or Tech Prep funds (5%).
Similarly to the traditional apprenticeship model, student wages or stipends
and formal assessment and certification of skills based on industry standards
were a part of the vast majority of programs claiming the youth apprenticeship
model, with the model showing an average percentage of 70% of the 22
components. In addition, recruitment of targeted student groups, along with
incentives to increase business, labor, and others' participation and training
and credentialling of workplace mentors were identified by a high percentage of
respondents relative to most of the other models. However, in contrast to the
traditional apprenticeship model and several of the other models, formal
articulation agreements with secondary schools (83%) and Tech Prep funding
(17%) were reported in greater percentage for the youth apprenticeship model.
Whereas these two models were shown to formally employ the greatest percentage
of the selected components, it is important to note that these models were
identified by very few responding colleges. Together, programs utilizing the
two models accounted for less than four percent of all nominations related to
both health and nonhealth work-based learning. If these two models are to be
utilized more extensively by two-year colleges, thereby leading to programs
that institutions would nominate as their "best," information about these
models needs to be disseminated more widely. Although data from this study
does not fully address the scope of availability of these models, it is clear
that few respondents identified these models as the basis for either health or
nonhealth programs that addressed the four criteria for selecting "best"
work-based learning programs. However, when they were nominated, they seemed
to address the selected components quite well in relation to the other models,
although evidence of their quality was not available.
The remaining five models shown in Table 12 all had an average percentage on
the 22 selected components of between 64% for cooperative education and 59% for
"other." Clinical-health (i.e., the clinical model associated with programs)
and school-based enterprise both had an average percentage of 63% and
clinical-other (i.e., the clinical model associated with nonhealth programs)
had an average percentage of 61%. All five models were similar in that a high
percentage of respondents indicated coordinated classroom and workplace
learning, integrated occupational-technical and academic education, periodic
evaluation, and governing boards to be a formal part. All of these models
employed components such as formal articulation agreements with secondary
schools; Tech Prep; training and credentialling of workplace mentors; inservice
of college faculty; and incentives to increase business, labor, and others'
involvement to a more limited extent than other models. Beyond these
similarities among the five models, however, each model tended to employ one or
a few components to a greater extent than the other models.
Over 80% of respondents identifying the clinical-health model indicated that
rotation of students through different jobs, a formal program of career
awareness, formal assessment and certification, formal contracts, and governing
boards were components. The school-based enterprise model was shown to employ
rotation of students through different jobs, job placement, and individualized
student training plans to a greater extent than several other models.
(However, due to the very low number of cases of this particular model,
similarly to the youth apprenticeship model, readers are asked to interpret the
findings cautiously.) Co-op employed student wages or stipends, Tech Prep
funding, and marketing to a greater extent than many of the other models. The
clinical-other model utilized individualized student training plans and
recruitment of targeted student groups more than most other models. Finally,
the "other" model, primarily reported to be internships, did not employ any of
the components in a particularly frequent way in comparison to the other models
except for Tech Prep funds which were reported by 17.5% of respondents, second
only to co-op where 18.5% of respondents indicated Tech Prep funds were used.
These results suggest that there is variation in the way the models fit the
school-to-work components and no one model has all the components. Models such
as traditional apprenticeship and youth apprenticeship tended to have
components such as student wages or stipends and incentives for business,
labor, and others to participate in work-based learning to a greater extent
than other models. In contrast, the clinical-health, clinical-other, co-op,
and school-based enterprise models often employed components such as
individualized student training plans and job rotation more than the other
models. Overall, the two models of traditional apprenticeship (72%) and youth
apprenticeship (70%) showed the highest average percentage on the 22 selected
components but, interestingly, few programs utilizing these models were
nominated. However, the remaining five models were not far behind with a range
of average percentage from co-op (64%) to "other" (59%).
Location of Primary Responsibility for Components
A final area pertaining to Parts Two and Three of the survey centered on
the party or parties with whom primary responsibility for 21 specific
work-based learning components rested. Respondents were asked to indicate the
location of primary responsibility for the selected health and other
(nonhealth) work-based learning programs. The choices of primary location were
as follows:
College has primary responsibility for the component.
Workplace (e.g., employers, labor) has primary responsibility for the
component.
Some other agency (e.g., community-based agency) has primary
responsibility for the component.
Formal/shared contract or agreement between the college and any other
organizations (e.g., employers, labor, community-based organizations) defines
joint responsibility for the component.
Respondents could also select NA if the component was thought to "not
apply" to the nominated health or other work-based learning programs. A
complete listing of components is presented in Table 13 as well as the
frequency of colleges' responses to each particular item.
Table 13
Location of Primary Responsibility for Selected Work-Based Learning
Components of
Nominated Health and Other Nonhealth Programs
|
| Health WBL Program
| | Other WBL Program
|
| Component
| College | Work- place | Other
Agency | Formal/ Shared | NA
| College | Work- place | Other
Agency | Formal/ Shared | NA
|
| Delivery of instruction primarily the responsibility of
| 94.2% | 0.5% | 0.0%
| 5.0% | 0.3%
| 82.9% | 3.1% | 0.3%
| 12.8% | 0.9%
| Curriculum development primarily the responsibility of
| 93.0% | 0.0% | 0.8%
| 6.0% | 0.3%
| 80.1% | 2.2% | 0.6%
| 15.9% | 1.2%
| Student selection primarily the responsibility of
| 94.0% | 0.8% | 0.0%
| 4.3% | 1.0%
| 60.7% | 14.3% | 1.9%
| 19.9% | 3.1%
| WBL experiences take place primarily at
| 4.0% | 74.6% | 4.0%
| 15.6% | 1.8%
| 3.1% | 81.7% | 1.2%
| 12.7% | 1.2%
| Supervision of students primarily the responsibility of
| 72.9% | 5.3% | 0.0%
| 21.1% | 0.8%
| 25.8% | 25.5% | 1.6%
| 45.7% | 1.6%
| Evaluation of students primarily the responsibility of
| 72.7% | 2.3% | 0.0%
| 24.6% | 0.5%
| 33.0% | 10.6% | 0.3%
| 54.5% | 1.6%
| Organizing
help for students having difficulty in WBL primarily the responsibility of
| 87.0% | 1.0% | 0.0%
| 10.8% | 1.3%
| 70.5% | 3.1% | 1.6%
| 22.4% | 2.5%
| Student wage rates primarily determined by
| 0.3% | 8.8% | 1.0%
| 0.8% | 89.2%
| 0.9% | 61.5% | 3.4%
| 5.0% | 29.2%
| Assessment and certification of student skill mastery at program
completion primarily the responsibility of
| 76.6% | 0.5% | 7.0%
| 14.8% | 1.0%
| 51.9% | 7.8% | 3.1%
| 29.8% | 7.5%
| Awardingof recognized credentials of mastery primarily the
responsibility of
| 68.9% | 0.3% | 22.1%
| 3.0% | 5.8%
| 64.0% | 3.1% | 6.5%
| 11.2% | 15.2%
| Selection and assignment of workplace mentors or coaches primarily
the responsibility of
| 41.2% | 13.6% | 0.0%
| 22.6% | 22.6%
| 25.5% | 36.0% | 2.2%
| 18.6% | 17.7%
| Training and credentialling of mentors or coaches primarily the
responsibility of
| 38.9% | 13.3% | 2.3%
| 14.1% | 31.4%
| 23.0% | 25.2% | 4.0%
| 10.2% | 37.6%
| Final negotation of contractual agreements among institutional
partners primarily the responsibility of
| 50.9% | 0.0% | 0.0%
| 46.1% | 3.0%
| 41.0% | 0.9% | 1.2%
| 36.6% | 20.2%
| Instructor/student ratios primarily determined by
| 53.6% | 4.0% | 26.8%
| 14.0% | 1.5%
| 76.7% | 5.0% | 3.1%
| 10.2% | 5.0%
| Lengthof training & related instruction is primarily determined by
| 68.9% | 0.0% | 18.8%
| 9.5% | 2.8%
| 74.5% | 1.9% | 6.2%
| 16.5% | 0.9%
| Placement of students in permanent full-time jobs primarily the
responsibility of
| 31.2% | 12.1% | 3.3%
| 7.5% | 46.0%
| 36.0% | 14.3% | 4.7%
| 13.0% | 32.0%
| | | | | | | | | | | | | | | | |