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Linkage between Students’ Study Habits and their grades analyzed through Bayesian statistics

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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

9

DOI

10.18260/1-2--42016

Permanent URL

https://peer.asee.org/42016

Download Count

458

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Paper Authors

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Muhammad Dawood New Mexico State University

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Rachel Boren New Mexico State University

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Melissa Guynn

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Patti Wojahn New Mexico State University

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John Tapia New Mexico State University

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Abstract

It is well documented that particular study habits and strategies, among other factors, can influence students’ grades and contribute to college success, independent learning, and retention. To further explore such connections, we studied and analyzed distinctions between two groups, those reporting use of “good” study habits vs. “not so good” study habits. Results establish a link between the two groups and Exam 1 grades, coded as Pass/Fail. Logistic regression, Bayesian statistics, and Matlab programming language were utilized for analysis, indicating that study habits depicted in the group reporting use of study habits research indicates as more powerful are indeed more likely to obtain a passing grade compared with those who did not report employing the better study strategies. because Bayesian statistics are not commonly employed to analyze these effects, a brief is provided on Bayesian statistics to facilitate researchers in this field who might also wish to use Bayesian statistics in their work.

Dawood, M., & Boren, R., & Guynn, M., & Wojahn, P., & Tapia, J. (2022, August), Linkage between Students’ Study Habits and their grades analyzed through Bayesian statistics Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--42016

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