Ordinal Behavior Classification of Student Online Course Interactions

Fuente: arXiv
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1. Verfasser: Trask, Thomas
Format: Preprint
Veröffentlicht: 2024
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author Trask, Thomas
author_facet Trask, Thomas
contents The study in interaction patterns between students in on-campus and MOOC-style online courses has been broadly studied for the last 11 years. Yet there remains a gap in the literature comparing the habits of students completing the same course offered in both on-campus and MOOC-style online formats. This study will look at browser-based usage patterns for students in the Georgia Tech CS1301 edx course for both the online course offered to on-campus students and the MOOCstyle course offered to anyone to determine what, if any, patterns exist between the two cohorts.
format Preprint
id arxiv_https___arxiv_org_abs_2405_05142
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Ordinal Behavior Classification of Student Online Course Interactions
Trask, Thomas
Computers and Society
Artificial Intelligence
Machine Learning
The study in interaction patterns between students in on-campus and MOOC-style online courses has been broadly studied for the last 11 years. Yet there remains a gap in the literature comparing the habits of students completing the same course offered in both on-campus and MOOC-style online formats. This study will look at browser-based usage patterns for students in the Georgia Tech CS1301 edx course for both the online course offered to on-campus students and the MOOCstyle course offered to anyone to determine what, if any, patterns exist between the two cohorts.
title Ordinal Behavior Classification of Student Online Course Interactions
topic Computers and Society
Artificial Intelligence
Machine Learning
url https://arxiv.org/abs/2405.05142