Review on self-regulated learning in smart learning environment

Abstract Despite the increasing use of self-regulated learning process in smart environment, understanding concepts from a theoretical perspective and empirical evidence are limited. This study used systematic review to explore models, design tools, support approaches, research on environment. revealed that there is an body literature 2012 2020. The analysis shows critical factor influencing environment’s process. components, including motivation, cognitive, metacognitive, self-efficiency, metacognitive most cited literature. Furthermore, strategies such as goal setting, helping-seeking, time management, self-evaluation have been founded be frequently supported Besides, limited models designed evaluations environment quantitative methods with mixed methods. tools visualization, agent, social comparison, recommendation motivate students’ engagement performance. Finally, paper presents our conclusion future directions supporting