Skip to main content
Article thumbnail
Location of Repository

Realism and control : problem-based learning programs as a data source for work-related research

By Roxanne Zolin, Renate Fruchter and Raymond Levitt

Abstract

Problem-based learning (PBL) is a pedagogical methodology that presents the learner with a\ud problem to be solved to stimulate and situate learning. This paper presents key characteristics of a\ud problem-based learning environment that determines its suitability as a data source for workrelated\ud research studies. To date, little has been written about the availability and validity of PBL\ud environments as a data source and its suitability for work-related research. We describe problembased\ud learning and use a research project case study to illustrate the challenges associated with\ud industry work samples. We then describe the PBL course used in our research case study and use\ud this example to illustrate the key attributes of problem-based learning environments and show how\ud the chosen PBL environment met the work-related research requirements of the research case\ud study. We propose that the more realistic the PBL work context and work group composition, the\ud better the PBL environment as a data source for a work-related research. The work context is more\ud realistic when relevant and complex project-based problems are tackled in industry-like work\ud conditions over longer time frames. Work group composition is more realistic when participants\ud with industry-level education and experience enact specialized roles in different disciplines within a\ud professional community

Topics: Problem based learning, PBL, Problem based learning environments
Publisher: Dublin Institute of Technology/Tempus Publications
Year: 2003
OAI identifier: oai:eprints.qut.edu.au:31234

Suggested articles


To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.