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Spaced Retrieval Practice in Undergraduate Engineering Courses: Psychometric Considerations

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Conference

2022 ASEE Annual Conference & Exposition

Location

Minneapolis, MN

Publication Date

August 23, 2022

Start Date

June 26, 2022

End Date

June 29, 2022

Conference Session

NSF Grantees Poster Session

Page Count

8

DOI

10.18260/1-2--41986

Permanent URL

https://peer.asee.org/41986

Download Count

188

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Paper Authors

biography

Campbell Bego University of Louisville

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Dr. Campbell Bego researches engineering learning and persistence as an Assistant Professor in the Department of Engineering Fundamentals at the University of Louisville's Speed School of Engineering. Prior to entering academia, she obtained a BS in Mechanical Engineering from Columbia University, worked in tunnel ventilation (CFD modeling) at Mott MacDonald and AECOM, and received a Professional Engineering license in the State of New York. She draws on these experiences as well as her MS and PhD in Cognitive Science from the University of Louisville to construct meaningful activities in her first-year engineering course. She aims to improve the number of engineering graduates as well as the quality and diversity of the engineering workforce using evidence-based practices and applied theory in the classroom.

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Patricia Ralston University of Louisville

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Keith Lyle

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Abstract

The focus of our current National Science Foundation (NSF: IUSE Award #1912253) project is the degree to which spaced retrieval practice, as compared to massed, increases performance on an end-of-semester exam in 10 different STEM courses (e.g., engineering, chemistry, biology). This paper presents an intermediate analysis examining the psychometric properties of the retrieval-practice exercises in two specific courses. The critical question is whether the psychometric properties of the exercises differ depending on whether they are spaced or massed. Preliminary results indicate that spacing does not consistently affect reliability of items, but can impact item difficulty.

Bego, C., & Ralston, P., & Lyle, K. (2022, August), Spaced Retrieval Practice in Undergraduate Engineering Courses: Psychometric Considerations Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41986

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