A survey of smart learning practices: contexts, benefits, and challenges Online publication date: Wed, 09-Aug-2023
by Billy Tak-Ming Wong; Kam Cheong Li; Thomas Hon-Tung Chan
International Journal of Innovation and Learning (IJIL), Vol. 34, No. 2, 2023
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovation and Learning (IJIL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook