An Analysis To Published Research On Ai’s Potential To Revolutionize The Classroom

Authors

  • Dr. Khursheeda Khatoon
  • Ms. Sulafa Mohammed Gewi

DOI:

https://doi.org/10.53555/jaz.v45iS1.3255

Keywords:

Higher Education, Education in Computer Science, Apps for Language Learning, Technology and artificial intelligence in the classroom, Professional Development for Teachers, Diversity in Education

Abstract

This literature review investigates the potential use of artificial intelligence (AI) in the classroom, which has become a topic of increased attention due to the rise in popularity of online education. Numerous studies carried out in various educational settings, including computer science, postsecondary education, language learning, and health professions education, are assessed for their methodological integrity and practicality. While the research provides valuable insights for educators and policymakers, it also highlights challenges such as the difficulty of generalization, the significance of continuous data, and the need of ethical issues. The study emphasizes the necessity of inclusive & moral behaviors, ongoing evaluation, and professional development for educators as it relates to the incorporation of artificial intelligence (AI) and technology into education. The findings shed light on the revolutionary possibilities of AI in the classroom and call for more research, careful consideration of ethical problems, & effective strategy in order to fully exploit the benefits of this technology. This is especially important when considering the nature of education, which is dynamic and continually evolving.

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Author Biographies

Dr. Khursheeda Khatoon

Faculty Jazan University, KSA

Ms. Sulafa Mohammed Gewi

Lecturer, Jazan University, KSA

References

Hamadneh, N. N., Atawneh, S., Khan, W. A., Almejalli, K. A., & Alhomoud, A. (2022). Using Artificial Intelligence to Predict Students’ Academic Performance in Blended Learning. Sustainability, 14(18), 11642. https://doi.org/10.3390/su141811642

Barik, T., Everett, M., Cardona-Rivera, R. E., Roberts, D. L., & Gehringer, E. F. (2013). A community college blended learning classroom experience through Artificial Intelligence in Games. In 2013 IEEE Frontiers in Education Conference (FIE) (pp. 1012-1017). IEEE. https://doi.org/10.1109/FIE.2013.6685093

Pikhart, M. (2020). Intelligent information processing for language education: The use of artificial intelligence in language learning apps. Procedia Computer Science, 176, 1412-1419. https://doi.org/10.1016/j.procs.2020.09.151

Grainger, R., Liu, Q., & Gladman, T. (2023). Learning technology in health professions education: Realising an (un)imagined future. Medical Education. Advance online publication. https://doi.org/10.1111/medu.15185

Čampelj, B., & Jereb, E. (2023). Report on Smart Education in the Republic of Slovenia. In Smart Education in the Republic of Slovenia (pp. 131-145). Springer. https://link.springer.com/chapter/10.1007/978-981-19-7319-2_12

https://www.mdpi.com/2071-1050/14/18/11642

https://ieeexplore.ieee.org/abstract/document/6685093

https://www.sciencedirect.com/science/article/pii/S1877050920320512

https://asmepublications.onlinelibrary.wiley.com/doi/full/10.1111/medu.15185

https://link.springer.com/chapter/10.1007/978-981-19-7319-2_12

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Published

2024-01-08

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