The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Artificial Intelligence and Its Role in Education
Open accessAbstract
The objective of this study is to explore the role of artificial intelligence applications (AIA) in education. AI applications provide the solution in many ways to the exponential rise of modern-day challenges, which create difficulties in access to education and learning. They play a significant role in forming social robots (SR), smart learning (SL), and intelligent tutoring systems (ITS) to name a few. The review indicates that the education sector should also embrace the modern methods of teaching and the necessary technology. Looking into the flow, the education sector organizations need to adopt AI technologies as a necessity of the day and education. The study needs to be tested statistically for better understanding and to make the findings more generalized in the future.
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Cites
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290
VanLEHN, K. (2011) · Educational Psychologist · doi:10.1080/00461520.2011.611369 · Cited by 2,323
Exploring the impact of artificial intelligence on teaching and learning in higher education
Popenici, S. A. D., & Kerr, S. (2017) · Research and Practice in Technology Enhanced Learning · doi:10.1186/s41039-017-0062-8 · Cited by 2,019
Social robots for education: a review.
Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., & Tanaka, F. (2018) · Science Robotics · doi:10.1126/scirobotics.aat5954 · Cited by 1,558
Making Sense of MOOCs: Musings in a Maze of Myth, Paradox and Possibility
Daniel, J. (2012) · Journal of Interactive Media in Education · doi:10.5334/2012-18 · Cited by 1,148
Constructivism and computer‐mediated communication in distance education
Jonassen, D., Davidson, M., Collins, M., Campbell, J., & Haag, B. B. (1995) · American Journal of Distance Education · doi:10.1080/08923649509526885 · Cited by 1,117
Social Robots for Long-Term Interaction: A Survey
Leite, I., Martinho, C., & Paiva, A. (2013) · International Journal of Social Robotics · doi:10.1007/s12369-013-0178-y · Cited by 871
Hwang, G.-J. (2014) · Smart Learning Environments · doi:10.1186/s40561-014-0004-5 · Cited by 655
Criteria, Strategies and Research Issues of Context-Aware Ubiquitous Learning
Hwang, G. J., Tsai, C., & Yang, S. J. H. (2008) · Cited by 566
Artificial intelligence and education in China
Knox, J. (2020) · Learning, Media and Technology · doi:10.1080/17439884.2020.1754236 · Cited by 489
Cited by
AI in Education: A Review of Personalized Learning and Educational Technology
Ayeni, O. O., Hamad, N. M. A., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024) · GSC Advanced Research and Reviews · doi:10.30574/gscarr.2024.18.2.0062 · Cited by 436
Ethical issues of the use of AI-driven mobile apps for education
Klimova, B., Pikhart, M., & Kacetl, J. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1118116 · Cited by 173
Artificial intelligence for teaching and learning in schools: The need for pedagogical intelligence
Díaz, B., & Nussbaum, M. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105071 · Cited by 148
Artificial Intelligence in Religious Education: Ethical, Pedagogical, and Theological Perspectives
Papakostas, C. (2025) · Religions · doi:10.3390/rel16050563 · Cited by 78
Zhai, X., Zhao, R., Jiang, Y., & Wu, H. (2024) · Behavioral Sciences · doi:10.3390/bs14090838 · Cited by 50
Metadata
- Authors
- Ahmad, S. F., Rahmat, M. K., Mubarik, M. S., Alam, M. M., & Hyder, S. I.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2021-11-22
- Volume
- 13
- Issue
- 22
- Pages
- 12902
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3214839373
- Cited by
- 336
- References
- 39
- FWCI
- 37.60
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ahmad, S. F., Rahmat, M. K., Mubarik, M. S., Alam, M. M., & Hyder, S. I. (2021). Artificial Intelligence and Its Role in Education. Sustainability. https://doi.org/10.3390/su132212902
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
