Work in Progress: Assessing Engineering Students' Motivation and Learning Strategies - A Psychometric Analysis of the Motivated Strategies for Learning Questionnaire
- Conference
- Location
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Columbus, Ohio
- Publication Date
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June 24, 2017
- Start Date
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June 24, 2017
- End Date
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June 28, 2017
- Conference Session
- Tagged Division
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Educational Research and Methods
- Page Count
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6
- DOI
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10.18260/1-2--29144
- Permanent URL
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https://peer.asee.org/29144
- Download Count
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573
Paper Authors
Olusola Adesope Washington State University
Dr. Olusola O. Adesope is an Associate Professor of Educational Psychology at Washington State University, Pullman. His research is at the intersection of educational psychology, learning sciences, and instructional design and technology. His recent research focuses on the cognitive and pedagogical underpinnings of learning with computer-based multimedia resources; knowledge representation through interactive concept maps; meta-analysis of empirical research, and investigation of instructional principles and assessments in STEM.
Nathaniel Hunsu Washington State University
Nathaniel Hunsu is currently a Ph.D. candidate of Educational Psychology at the Washington State University. He received a B.Sc. in Electronics and Computer Engineering from the Lagos State University, Nigeria and a M.Sc. in Project Management from University of Sunderland. He is interested in the conceptual change research in science learning. His research emphasis at the time is about how students process textual information for conceptual change in STEM education.
Bernard J. Van Wie Washington State University
Prof. Bernard J. Van Wie received his B.S., M.S. and Ph.D., and did his postdoctoral work at the University of Oklahoma where he also taught as a visiting lecturer. He has been on the Washington State University faculty for 32 years and for the past 18 years has focused on innovative pedagogy research and technical research in biotechnology. His 2007-2008 Fulbright exchange to Nigeria set the stage for him to receive the Marian Smith Award given annually to the most innovative teacher at Washington State University.
Bruce Austin Washington State University
Robert F. Richards Washington State University
Dr. Robert Richards received the Ph.D. in Engineering from the University of California, Irvine. He then worked in the Building and Fire Research Laboratory at NIST as a Post-Doctoral Researcher before joining the faculty of the School of Mechanical and Materials Engineering at Washington State University. His research is in thermodynamics and heat and mass transfer. Over the last five years he has become involved in developing and disseminating research based learning methods. He was a participant in the NSF Virtual Communities of Practice (VCP) program in Spring, 2013, learning research based methods to instruct thermodynamics. More recently he introduced the concept of fabricating very low cost thermal fluid experiments using 3-D printing and vacuum forming at the National Academy of Engineering’s Frontiers of Engineering Education in October, 2013. He is presently a co PI on the NSF IUSE: Affordable Desktop Learning Modules to Facilitate Transformation in Undergrad¬uate Engineering Classes, High School Recruitment and Retention.
Prashanta Dutta
Washington State University
orcid.org/0000-0001-5082-3994
Prof. Prashanta Dutta has received his PhD degree in Mechanical Engineering from the Texas A&M University in 2001. Since then he has been working as an Assistant Professor at the School of Mechanical and Materials Engineering at Washington State University. He was promoted to the rank of Associate and Full Professor in 2007 and 2013, respectively. Prof. Dutta is an elected Fellow of the American Society of Mechanical Engineers (ASME). He current serves as Editor for Electrophoresis.
Abstract
This work in progress seeks to examine the psychometric analysis of the motivated strategies for learning questionnaire (MSLQ) for assessing engineering students’ motivation and learning strategies. Although there are many standardized questionnaires used to assess student motivation to learn, the MSLQ is one of the more widely used in general education research and has been reported to be reliable and valid. However, it has rarely been used in engineering education. The entire instrument comprises 81 items assessing motivation and learning strategies related constructs, with the motivation and learning strategies comprising six and nines sub-scales respectively. Constructs on the instrument are assessed on a 7-point Likert scale and scores are determined by obtaining participants mean score for items on each sub-scales. Confirmatory factor models were used to examine the performance of the MSLQ scales with the engineering student data. Preliminary findings show that the model fit was good to excellent for each sub-scale
Adesope, O., & Hunsu, N., & Van Wie, B. J., & Austin, B., & Richards, R. F., & Dutta, P. (2017, June), Work in Progress: Assessing Engineering Students' Motivation and Learning Strategies - A Psychometric Analysis of the Motivated Strategies for Learning Questionnaire Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--29144
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