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Work in Progress: Updating End of Semester Course Evaluations via Backwards Design to Reduce Student Bias

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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

Educational Research and Methods (ERM) Division Poster Session

Page Count

7

DOI

10.18260/1-2--41057

Permanent URL

https://peer.asee.org/41057

Download Count

336

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Paper Authors

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Yanfen Li University of Massachusetts Lowell

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Yanfen Li is an Assistant Teaching Professor at the University of Massachusetts Lowell. She received her PhD in Bioengineering from the University of Illinois at Urbana Champaign. Her current research is in engineering education with a focus on curriculum development and retention of female and minority students in engineering.

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Adam St. Jean University of Massachusetts Lowell

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Adam St. Jean is an Associate Teaching Professor and the Associate Chair for Undergraduate Programs in Biomedical Engineering at UMass Lowell. He received his Ph.D. in Chemical Engineering from the University of Massachusetts Amherst in 2012. His current research interests include scientific literacy and engineering identity/experiences for the LBGTQ+ community.

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Chiara Ghezzi

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Assistant Professor and Associate Chair

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Laura Punnett University of Massachusetts Lowell

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Abstract

Many universities conduct course evaluations at the end of the semester to evaluate the quality of teaching from an instructor. These evaluations are often used for consideration of tenure, compensation, employment decisions, and teaching awards, among other career milestones. However, a variety of literature indicates that student evaluations of teaching may not be an accurate indication of teaching effectiveness [1], [2]. In particular, student biases about factors such as gender, race, and age can all affect their evaluations [3]–[5]. In this Work-in-progress article, we introduce a backwards design approach to re-evaluate the use and goals of course evaluations from multiple stakeholders including faculty, administrators, and students. These goals are then used to redefine the types of questions needed in course evaluation questionnaires. We also introduce a new method of writing questionnaire questions to be evidence-based (i.e., did the instructor grade assignments within a week) rather than intuition-based (i.e., did the instructor grade assignments in a timely manner) to reduce student bias.

Li, Y., & St. Jean, A., & Ghezzi, C., & Punnett, L. (2022, August), Work in Progress: Updating End of Semester Course Evaluations via Backwards Design to Reduce Student Bias Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41057

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