Self-Regulated learning and online learning: A systematic review

• Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Main Author: Adam N.L.; Alzahri F.B.; Cik Soh S.; Abu Bakar N.; Mohamad Kamal N.A.
• Format: Conference paper
• Language: English
• Published: Springer Verlag 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035137323&doi=10.1007%2f978-3-319-70010-6_14&partnerID=40&md5=f55ce6e306ce6861e096544033fe01d7

Self-regulated learning (SRL) is an academically effective form of learning, which learners must set their goals and make plans before starting to learn. As an ongoing process, learners need to monitor and regulate their cognition, motivation, and behavior as well as reflect on their learning process. These processes will be repeated as a cyclic process. The emerging technologies have changed the learning environments. Technology delivers teaching to learners via online. In online learning, information of education and learners do not share the same physical setting. Online learning should provide opportunities for learners to master necessary tasks. Online learners may use SRL strategies. In this research, we have collected, synthesized, and analyzed 130 articles on various topics related to SRL that published from 1986 to 2017, focusing on online learning and mathematics. We noted several models, phases, and few other topics discussed under SRL. © Springer International Publishing AG 2017.