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Presentation
Conceptualizing co-enrollment: accounting for student experiences across the curriculum
LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge
  • Michael Geoffrey Brown, Iowa State University
  • R. Matthew DeMonbrun, University of Michigan
  • Stephanie D. Teasley, University of Michigan
Document Type
Conference Proceeding
Conference
8th International Conference on Learning Analytics and Knowledge
Publication Version
Accepted Manuscript
Link to Published Version
http://dx.doi.org/10.1145/3170358.3170366
Publication Date
1-1-2018
DOI
10.1145/3170358.3170366
Conference Title
8th International Conference on Learning Analytics and Knowledge
Conference Date
March 7-9, 2018
Geolocation
(-33.8688197, 151.20929550000005)
Abstract

In this study, we develop and test three measures for conceptualizing the potential impact of co-enrollment in different courses on students’ changing risk for academic difficulty in a focal course. Two of these measures, concurrent enrollment in at least one difficult course and academic difficulty in the prior week in courses other than the focal course, significantly increase students’ odds of academic difficulty in the focal course in our models. Our results have implications for the designs of Early Warning Systems and suggest that academic planners consider the relationship between course coenrollment and students’ academic success.

Comments

This is a manuscript of a proceeding from Michael Brown, R. Matthew DeMonbrun, & Stephanie D. Teasley. 2018. Conceptualizing Co-enrollment: Accounting for student experiences across the curriculum. Proceedings of the 8th International Conference on Learning Analytics and Knowledge, Sydney, Australia, March 7-9, 2018. ACM. doi: 10.1145/3170358.3170366. Posted with permission.

Copyright Owner
Owner/author(s)
Language
en
File Format
application/pdf
Citation Information
Michael Geoffrey Brown, R. Matthew DeMonbrun and Stephanie D. Teasley. "Conceptualizing co-enrollment: accounting for student experiences across the curriculum" Sydney, AustraliaLAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge (2018) p. 305 - 309
Available at: http://works.bepress.com/brown-michael/13/