WIP: Model of Self-Regulated Smart Learning Environment

Abstract

The use of smart and mobile technologies provides a smart learning environment that can support diverse learning needs. The self-regulated learning process has been identified as one strategy supporting students in the online learning environment. Metacognitive skills such as goal setting, task strategy, self-reaction, help-seeking, time management can be developed in a smart learning environment to support the learning process. However, despite the increasing research in the smart learning environment, there is a scarcity of well-documented work on how the metacognitive components in a smart learning environment could be modelled to support the development of a self-regulated smart learning environment. This paper explored the metacognitive components in the smart learning environment to propose the hybrid model, referred to as MSLEM: Metacognitive Smart Learning Environment Model, which can help researchers provide a personalized learning environment for supporting the online learning process.