Explanatory and Predictive Modeling Within Improvement Science Projects
Item
Title
Explanatory and Predictive Modeling Within Improvement Science Projects
Abstract/Description
This paper explores the role of explanatory and predictive modeling within a large-scale, networked improvement community called the Carnegie Math Pathways. Drawing on multiple data sources from across multiple years, we demonstrate how both explanatory and predictive models helped in understanding what it means to be a successful student and learner in the Pathways.
Author/creator
Date
At conference
AERA Annual Meeting
Resource type
Research/Scholarly Media
Resource status/form
Presentation/Poster
Scholarship genre
Empirical
Open access/full-text available
No
Peer reviewed
No
Citation
Krumm, A. E., Yeager, D. S., & Yamada, H. (2019). Explanatory and Predictive Modeling Within Improvement Science Projects. AERA Annual Meeting, Toronto, ON. http://tinyurl.com/yaxj9my4
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