2019 journal article

How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses


By: N. Gitinabard n, Y. Xu n, S. Heckman n, T. Barnes n & C. Lynch n

author keywords: Social Network Analysis; Performance Prediction; Cross-Class Performance Prediction; Early Performance Prediction; Blended Courses
TL;DR: This paper uses data from two offerings of two different undergraduate courses to train and evaluate predictive models of student performance based on persistent student characteristics including study habits and social interactions and analyzes the performance of these models on the same offering, on different offerings of the same course, and across courses. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 1, 2019

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