Realism and Control Problem-based learning programs as a data source for work-related research
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Authors
Zolin, Roxanne
Fruchter, Renate
Levitt, Raymond E.
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Date of Issue
2003
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Abstract
Problem-based learning (PBL) is a pedagogical methodology that presents the
learner with a problem to be solved to stimulate and situate learning. This paper presents
key characteristics of a problem-based learning environment that determines its
suitability as a data source for work-related research studies. To date, little has been
written about the availability and validity of PBL environments as a data source and its
suitability for work-related research.
We describe problem-based learning and use a research project case study to
illustrate the challenges associated with industry work samples. We then describe the
PBL course used in our research case study and use this example to illustrate the key
attributes of problem-based learning environments and show how the chosen PBL
environment met the work-related research requirements of the research case study.
We propose that the more realistic the PBL work context and work group
composition, the better the PBL environment as a data source for a work-related research.
The work context is more realistic when relevant and complex project-based problems
are tackled in industry-like work conditions over longer time frames. Work group
composition is more realistic when participants with industry-level education and
experience enact specialized roles in different disciplines within a professional
community.
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Graduate School of Business & Public Policy (GSBPP)
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.