A survey of smart learning practices: contexts, benefits, and challenges

Abstract

Smart learning has emerged as a significant area of inquiry in both research and practice. However, related reviews of this area have given scant scholarly attention to its research contexts, benefits, and challenges. This paper seeks to extend the previous review studies to investigate smart learning in these areas. A total of 155 smart learning research papers published in 2011-2020 were collected from Web of Science, Scopus, and ProQuest for review. The findings reveal that most relevant studies were conducted in the computer science discipline with a particular focus on online and face-to-face smart learning at the university educational level. They also show the benefits of smart learning such as enhanced teaching and learning support and improved learning outcomes, as well as challenges such as integration with other systems and teachers' competence and training. The findings serve to advance the understanding of smart learning and shed light on its future design and implementation.