Learners' Online Interactions and Their Self-Regulation Learning Skills From a Learning Analytics Perspective

Author:

Atabay Melek1,Çakiroğlu Ünal1

Affiliation:

1. Trabzon University, Turkey

Abstract

Online learning requires improved self-regulation. LMSs with their affordances provide log data, including learners' interactions, to extract information for self-regulated learning. This chapter includes various views on the requirements for online self-regulation skills. Additionally, the model can be adapted to address self-regulation in online learning. Moreover, approaches to determining online self-regulation regarding online learners' interactions were discussed. The systems developed to support the self-regulation skills of online learners are presented, along with the design features of the related systems and also the results of the system developed within the scope of this study. The chapter also covers the links between interactions and LMS activities, which are established considering the nature of self-regulated learning.

Publisher

IGI Global

Reference66 articles.

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