Publication details

Využití multimodální analytiky učení pro výzkum seberegulovaného učení vysokoškolských studentů v online výukových prostředí

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Title in English Using multimodal learning analytics to study university students’ self-regulated learning in online learning environments
Authors

JUHAŇÁK Libor

Year of publication 2023
Type Conference abstract
MU Faculty or unit

Faculty of Arts

Citation
Description One of the main themes of existing research on self-regulated learning (SRL) in online learning environments is the development of methods and techniques for studying and measuring SRL in this specific context of online learning. A promising approach to SRL research in online environments seems to be multimodal learning analytics, which is based on a combination of different types of data. This paper presents the results of an analysis focusing on a combination of data from a questionnaire and data recording students’ behaviour in the LMS.
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