Behavioral trace data in an online learning environment as indicators of learning engagement in university students

Behavioral trace data in an online learning environment as indicators of learning engagement in university students

Learning in asynchronous online settings (AOSs) is challenging for university students. However, the construct of learning engagement (LE) represents a possible lever to identify and reduce challenges while learning online, especially, in AOSs. Learning analytics provides a fruitful framework to ana...

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Bibliographic Details
Main Authors: Marc Winter, Julia Mordel, Julia Mendzheritskaya, Daniel Biedermann, George-Petru Ciordas-Hertel, Carolin Hahnel, Daniel Bengs, Ilka Wolter, Frank Goldhammer, Hendrik Drachsler, Cordula Artelt, Holger Horz
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-10-01
Series:Frontiers in Psychology
Subjects:
learning engagement
trace data
best-subset regression
asynchronous online learning
learning analytics
university student behavior
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1396881/full
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