Support of Self-Regulated Learning in Blended Courses

Investor logo
Authors

BRÜCKNEROVÁ Karla

Year of publication 2022
Type Appeared in Conference without Proceedings
MU Faculty or unit

Faculty of Arts

Citation
Description LMS are very flexible systems that allow various teaching approaches, which leads to considerable variations in student learning processes (Gaševićetal, 2016). Therefore, understanding the data about self-regulated learning (SRL) within blended courses in LMS is conditioned by the categorization of blended courses based on the level of SRL support they provide. This contribution aims to offer a research-based tool for categorizing blended courses, which might serve as a research tool for analysis of SRL within blended courses and as a diagnostic tool for blended courses improvement.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.