Exploring the Intersection of Education and Artificial Intelligence: A Comprehensive Review
DOI:
https://doi.org/10.59653/ijmars.v2i02.637Keywords:
Artificial intelligence, Learning Experience, Educational ParadigmAbstract
The abstract commences by elucidating the foundational role of AI in reshaping traditional educational paradigms, emphasizing the advent of personalized learningexperiences tailored to individual student needs. Intelligent tutoring systems, driven by AI algorithms, are discussed for their ability to provide adaptive and customized support, fostering enhanced student engagement and performance. Educational analytics, powered by AI, is explored as a pivotal tool for extracting meaningful insights from vast datasets,informing evidence-based decision-making for educators and administrators.The review highlights notable case studies and successful implementations of AI in educational settingsacross various levels, from primary education to higher education and professional development. These case studies offer insights into the practical applications of AI, showcasing its effectiveness in optimizing teaching and learning outcomes.
Downloads
References
Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability, 15(17), 12983.
Bordegoni, M., & Ferrise, F. (2023). Exploring the intersection of metaverse, digital twins, and artificial intelligence in training and maintenance. Journal of Computing and Information Science in Engineering, 23(6), 060806.
Boubker, O. (2024). From chatting to self-educating: Can AI tools boost student learning outcomes? Expert Systems with Applications, 238. https://doi.org/10.1016/j.eswa.2023.121820
Carter, L., Liu, D., & Cantrell, C. (2020). Exploring the intersection of the digital divide and artificial intelligence: A hermeneutic literature review. AIS Transactions on Human-Computer Interaction, 12(4), 253-275.
Casas-Roma, J., & Conesa, J. (2021). A literature review on artificial intelligence and ethics in online learning. Intelligent Systems and Learning Data Analytics in Online Education, 111-131.
de Mello, R. R. P., de Santiago, R., Silveira, R. A., & Gelaim, T. Â. (2024). Neural-symbolic BDI-Agent as a Multi-Context System: A case study with negotiating agent[Formula presented]. Expert Systems with Applications, 238. https://doi.org/10.1016/j.eswa.2023.121656
Kasula, B. Y. (2023). AI Applications in Healthcare a Comprehensive Review of Advancements and Challenges. International Journal of Managment Education for Sustainable Development, 6(6).
Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., & Darwis, A. (2023). Exploring Artificial Intelligence in Academic Essay: Higher Education Student's Perspective. International Journal of Educational Research Open, 5, 100296.
Manire, E., Kilag, O. K., Cordova Jr, N., Tan, S. J., Poligrates, J., & Omaña, E. (2023). Artificial Intelligence and English Language Learning: A Systematic Review. Excellencia: International Multi-disciplinary Journal of Education (2994-9521), 1(5), 485-497.
Mohammad Amini, M., Jesus, M., Fanaei Sheikholeslami, D., Alves, P., Hassanzadeh Benam, A., & Hariri, F. (2023). Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate. Machine Learning and Knowledge Extraction, 5(3), 1023-1035.
Mustafa, D. (2023). Smart Classrooms, Bright Minds: The Intersection of Education and Artificial Intelligence. Journal Environmental Sciences And Technology, 2(1), 150-158.
Ogata, H., Flanagan, B., Takami, K., Dai, Y., Nakamoto, R., & Takii, K. (2024). EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning. Research and Practice in Technology Enhanced Learning, 19. https://doi.org/10.58459/rptel.2024.19019
Pal, S. (2023). A paradigm shift in research: Exploring the intersection of artificial intelligence and research methodology. International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 11(3).
Preiksaitis, C., & Rose, C. (2023). Opportunities, challenges, and future directions of generative artificial intelligence in medical education: scoping review. JMIR Medical Education, 9(1), e48785.
Sahatta, M. D., Nasikh, N., & Haryono, A. (2023). Effect of Academic, Social, and Personal-emotional Adjustment on Understanding Accounting Courses through Grade Point Average as an Intervening Variable in Development Economics Students at Universitas Negeri Malang. Journal of Education Method and Learning Strategy, 1(03). https://doi.org/10.59653/jemls.v1i03.164
Zurida, U., & Efendi, Z. (2023). The Influence of Teaching Variations on Student Learning Motivation at SMP Negeri 1 Jeumpa. Journal of Education Method and Learning Strategy, 1(02 SE-Articles), 69–82. https://doi.org/10.59653/jemls.v1i02.88
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2024 Sagnika Dash, Chandrasekhar Bhoi

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).