Article 2007

Comparison of student learning in challenge-based and traditional instruction in biomedical engineering

Annals of Biomedical Engineering
Journal · Vol. 35 · Issue 8 · pp. 1312-1323
Abstract

This paper presents the results of a study comparing student learning in an inquiry-based and a traditional course in biotransport. Collaborating learning scientists and biomedical engineers designed and implemented an inquiry-based method of instruction that followed learning principles presented in the National Research Council report "How People Learn" (HPL). In this study, the intervention group was taught a core biomedical engineering course in biotransport following the HPL method. The control group was taught by traditional didactic lecture methods. A primary objective of the study was to identify instructional methods that facilitate the early development of adaptive expertise (AE). AE requires a combination of two types of engineering skills: subject knowledge and the ability to think innovatively in new contexts. Therefore, student learning in biotransport was measured in two dimensions: A pre and posttest measured knowledge acquisition in the domain and development of innovative problem-solving abilities. HPL and traditional students' test scores were compared. Results show that HPL and traditional students made equivalent knowledge gains, but that HPL students demonstrated significantly greater improvement in innovative thinking abilities. We discuss these results in terms of their implications for improving undergraduate engineering education. © 2007 Biomedical Engineering Society.

Keywords

Author Keywords

Teaching methods Challenge-based Learning Adaptive Expertise Biotransport instruction How people learn Student learning measurements

Index Keywords

Learning systems Teaching Teaching methods learning adult female human male Humans Article Students Vocational education Problem solving student psychological aspect education comparative study Education, Professional Biomedical engineering Challenge-based learning Adaptive systems Adaptive expertise Computer supported cooperative work Biotransport instruction Student learning measurements
Author Affiliations
Department of Curriculum and Instruction, The University of Texas at Austin, Austin, TX, United States
Cockrell School of Engineering, Austin, TX, United States
Funding & Acknowledgements
Grant: EEC-9876363
The authors gratefully acknowledge the support of the National Science Foundation for the VaNTH Engineering Research Center in Bioengineering Educational Technologies Award Number EEC-9876363. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The following bioengineering and learning science colleagues made substantial contributions to this study. Robert Roselli and Kevin Seale from Vanderbilt University and Neil Wright from Michigan State University contributed via collaborations in gathering and sharing instructional data from biotransport courses they taught. Sean Brophy from Purdue University contributed via discussions concerning learning science aspects of the research. Robert Roselli also collaborated over a period of years in creating and sharing many biotransport modules and in developing methods for using the modules to teach in the HPL framework.
National Science Foundation, NSF
Grant: 9876363
The authors gratefully acknowledge the support of the National Science Foundation for the VaNTH Engineering Research Center in Bioengineering Educational Technologies Award Number EEC-9876363. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The following bioengineering and learning science colleagues made substantial contributions to this study. Robert Roselli and Kevin Seale from Vanderbilt University and Neil Wright from Michigan State University contributed via collaborations in gathering and sharing instructional data from biotransport courses they taught. Sean Brophy from Purdue University contributed via discussions concerning learning science aspects of the research. Robert Roselli also collaborated over a period of years in creating and sharing many biotransport modules and in developing methods for using the modules to teach in the HPL framework.
References 10 References
1 Criteria for Accrediting Engineering Programs, (2005)
2 Albanese, Mark A., Problem-based learning: A review of literature on its outcomes and implementation issues, Academic Medicine, 68, 1, pp. 52-81, (1993)
3 Anderson, John Robert, Acquisition of cognitive skill, Psychological Review, 89, 4, pp. 369-406, (1982)
4 undefined, (2007)
5 Barron, Brigid J.S., Doing with Understanding: Lessons from Research on Problem- and Project-Based Learning, Journal of the Learning Sciences, 7, 3-4, pp. 271-311, (1998)
6 Barrows, Howard S., Problem-based learning in medicine and beyond: A brief overview, New Directions for Teaching and Learning, 1996, 68, pp. 3-12, (1996)
7 undefined, (2007)
8 Innovations in Learning New Environments for Education, (1996)
9 Carlson, Marilyn P., The cyclic nature of problem solving: An emergent multidimensional problem-solving framework, Educational Studies in Mathematics, 58, 1, pp. 45-75, (2005)
10 Chi, Michelene T.H., Categorization and representation of physics problems by experts and novices, Cognitive Science, 5, 2, pp. 121-152, (1981)
Quick Actions
Full Text via DOI
Citation Metrics
105
Times Cited (Scopus)

References 10
Document Identifiers