A Survey of Smart Classroom Literature
Bibliographic Data
| ID | 22047218 |
|---|---|
| Authors | Avneet Kaur (0000-0002-0579-6453, Lovely Professional University), Munish Bhatia (0000-0001-9878-7646, Lovely Professional University), Giovanni Stea (0000-0001-5310-6763, University of Pisa, corresponding author) |
| Year | 2022 |
| Volume | 12 |
| Issue | 2 |
| Pages | 86 |
| Publication date | 2022-01-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci12020086 |
| OpenAlex | W4210638371 |
| Language | EN |
| Citations received | 4 |
| References cited | 135 |
Recently, there has been a substantial amount of research on smart classrooms, encompassing a number of areas, including Information and Communication Technology, Machine Learning, Sensor Networks, Cloud Computing, and Hardware. Smart classroom research has been quickly implemented to enhance education systems, resulting in higher engagement and empowerment of students, educators, and administrators. Despite decades of using emerging technology to improve teaching practices, critics often point out that methods miss adequate theoretical and technical foundations. As a result, there have been a number of conflicting reviews on different perspectives of smart classrooms. For a realistic smart classroom approach, a piecemeal implementation is insufficient. This survey contributes to the current literature by presenting a comprehensive analysis of various disciplines using a standard terminology and taxonomy. This multi-field study reveals new research possibilities and problems that must be tackled in order to integrate interdisciplinary works in a synergic manner. Our analysis shows that smart classroom is a rapidly developing research area that complements a number of emerging technologies. Moreover, this paper also describes the co-occurrence network of technological keywords using VOSviewer for an in-depth analysis
Cloud computing · Data science · Emerging technologies · Knowledge management · Terminology · Computer Science · Educational Innovations and Technology · Experimental Learning in Engineering · Technology-Enhanced Education Studies · Artificial Intelligence
E‐Learning and the Science of Instruction
Vision, challenges, roles and research issues of Artificial Intelligence in Education
A review of the use of virtual reality head-mounted displays in education and training
Learning analytics
The impact of a flipped classroom approach on student learning experience
The ‘smart’ classroom
A Consideration of the Use of Plagiarism Tools for Automated Student Assessment
Instruments for obtaining student feedback
Using Smart Boards and Manipulatives in the Elementary Science Classroom
Introducing objective tests and OMR‐based student assessment
Animation
Lecturing practices and note-taking purposes
| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |