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Flow through Regression: A Guide to Interpreting and Communicating Regression Models for Data Analytics Students
Resource type
Authors/contributors
- Toskin, Katarzyna (Author)
- Kunene, Niki (Author)
Title
Flow through Regression: A Guide to Interpreting and Communicating Regression Models for Data Analytics Students
Abstract
Faculty teaching data analytics at undergraduate level are often faced with the tension created by student under-preparedness, the demands of the course, and time constraints. How do faculty close this gap? In this paper, we propose the use of flow diagramming as an accessible method for interpreting regression analyses, in ways that are time efficient and not alienating to the student. Our study shows that the use of such flow diagrams has a positive effect on student understanding without additional remedial instruction. Time saved can be directed at core learning objectives of the analytics.
Publication
Information Systems Education Journal
Publisher
Information Systems and Computing Academic Professionals
Date
2021/10/00
Volume
19
Issue
5
Pages
31-44
Citation Key
toskinFlowRegressionGuide2021
Accessed
11/17/23, 8:47 PM
Short Title
Flow through Regression
Language
en
Library Catalog
ERIC
Extra
ERIC Number: EJ1319909
Citation
Toskin, K., & Kunene, N. (2021). Flow through Regression: A Guide to Interpreting and Communicating Regression Models for Data Analytics Students. Information Systems Education Journal, 19(5), 31–44. https://eric.ed.gov/?id=EJ1319909
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