Analyzing the Heterogeneous Impact of Remote Learning on Students' Ability to Stay on Track During the Pandemic
Zhonzhou Chen, Tom Zhang

TL;DR
This study examines how remote learning during the COVID pandemic affected university students' ability to stay on track, revealing diverse impacts across demographic groups and emphasizing the need for flexible instructional strategies.
Contribution
It provides a detailed analysis of the heterogeneous effects of remote learning on different student demographics during the pandemic.
Findings
First-generation students submitted fewer modules on time during remote learning.
Transfer students increased early submissions during the pandemic.
Under-represented minority students showed higher engagement levels during remote learning.
Abstract
This study investigates how remote learning due to the COVID pandemic impacts students' ability to keep up with the pace of instruction in a university level physics course, with a focus on the heterogeneous impact of remote learning on different demographic groups. Student learning data is collected from 70 online learning modules assigned as both online homework and self-study material in both Fall 2020 and Spring 2020 semesters, with the first 41 modules being assigned before campus closure in Spring 2020. Students' ability to stay on track is measured by three data indicators: percentage of modules submitted before the due date, percentage of modules submitted early for extra credit, and percentage of modules properly engaged with. The student population is divided into two demographic groups according to each of the four demographic variables: Gender, Ethnicity, Transfer Status and…
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Taxonomy
TopicsInnovative Teaching Methods · Experimental Learning in Engineering · Online Learning and Analytics
