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...

詳細記述

書誌詳細

出版年:	Frontiers in Psychology
主要な著者:	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
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2024-10-01
主題:	learning engagement trace data best-subset regression asynchronous online learning learning analytics university student behavior
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1396881/full