Study on the Impact of Artificial Intelligence on Student Learning Outcomes
DOI:
https://doi.org/10.52562/jdle.v4i2.1234Keywords:
Artificial Intelligence, Learning Outcomes, Personalized Learning, Student EngagementAbstract
This study explores the transformative potential of Artificial Intelligence (AI) in education by analyzing its impact on student learning outcomes. Through a comprehensive literature review, the research synthesizes current findings on the integration of AI in educational settings, examining both the benefits and challenges it presents. The study explores into AI's role in personalizing learning experiences, enhancing student engagement, and improving academic performance. Ethical considerations such as data privacy and algorithmic bias are also assessed. This research also identifies existing gaps in the literature and suggests avenues for future inquiry, contributing to a deeper understanding of how AI can be effectively and responsibly integrated into education to optimize student success.
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Airaj, M. (2024). Ethical artificial intelligence for teaching-learning in higher education. Education and Information Technologies, 1-23. https://link.springer.com/article/10.1007/s10639-024-12545-x
Annuš, N. (2024). Educational Software and Artificial Intelligence: Students' experiences and Innovative Solutions. Information Technologies and Learning Tools, 101(3), 200-226. https://www.proquest.com/openview/391a69ac3ad94d3933c14cbb530f82e5/1?pq-origsite=gscholar&cbl=6515896
Ayeni, O. O., Al Hamad, N. M., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261-271. https://doi.org/10.30574/gscarr.2024.18.2.0062
Eden, C. A., Chisom, O. N., & Adeniyi, I. S. (2024). Integrating AI in education: Opportunities, challenges, and ethical considerations. Magna Scientia Advanced Research and Reviews, 10(2), 006-013. https://doi.org/10.30574/msarr.2024.10.2.0039
Gill, S. S. (2024). Quantum and blockchain based Serverless edge computing: A vision, model, new trends and future directions. Internet Technology Letters, 7(1), e275. https://onlinelibrary.wiley.com/doi/abs/10.1002/itl2.275
Gökçearslan, S., Tosun, C., & Erdemir, Z. G. (2024). Benefits, challenges, and methods of artificial intelligence (AI) chatbots in education: A systematic literature review. International Journal of Technology in Education, 7(1), 19-39. https://eric.ed.gov/?id=EJ1415037
Gupta, P., Sreelatha, C., Latha, A., Raj, S., & Singh, A. (2024). Navigating The Future Of Education: The Impact Of Artificial Intelligence On Teacher-Student Dynamics. Educational Administration: Theory and Practice, 30(4), 6006-6013. https://kuey.net/menuscript/index.php/kuey/article/view/2332
Khreisat, M. N., Khilani, D., Rusho, M. A., Karkkulainen, E. A., Tabuena, A. C., & Uberas, A. D. (2024). Ethical Implications of AI Integration in Educational Decision Making: Systematic Review. Educational Administration: Theory and Practice, 30(5), 8521-8527. https://kuey.net/menuscript/index.php/kuey/article/view/4406
King, E. I., Ekikor, U. J., & Stanley, E. M. (2024). Artificial Intelligence and Performance Management: Balancing Automation with the Human Element. International Journal of Innovative Studies, 8(1), 24-41. https://ijois.com/index.php/ijoisjournal/article/view/108
Krasna, M., & Bratina, T. (2024). The use of AI and student population: The change is inevitable. In 13th Mediterranean Conference on Embedded Computing (MECO) (pp. 1-5). IEEE. https://ieeexplore.ieee.org/abstract/document/10577853
Nguyen, A., Kremantzis, M., Essien, A., Petrounias, I., & Hosseini, S. (2024). Enhancing student engagement through artificial intelligence (AI): Understanding the basics, opportunities, and challenges. Journal of University Teaching and Learning Practice, 21(06). https://doi.org/10.53761/caraaq92
Raja, S., Jebadurai, D. J., Ivan, L., Mykola, R. V., Ruslan, K., & Nadiia, P. R. (2024). Impact of Artificial Intelligence in Students’ Learning Life. In AI in Business: Opportunities and Limitations: Volume 2 (pp. 3-17). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49544-1_1
Ramirez, E. A. B., & Esparrell, J. A. F. (2024). Artificial Intelligence (AI) in Education: Unlocking the Perfect Synergy for Learning. Educational Process: International Journal, 13(1), 35-51. https://eric.ed.gov/?id=EJ1416193
Read, D. (2024). Education in Chemistry, Royal Society of Chemistry, UK. https://edu.rsc.org/feature/the-science-classroom-of-the-future/4018818.article
Rekha, K., Gopal, K., Satheeskumar, D., Anand, U. A., Doss, D. S. S., & Elayaperumal, S. (2024). Ai-Powered Personalized Learning System Design: Student Engagement and Performance Tracking System. In 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 1125-1130). IEEE. https://doi.org/10.1109/ICACITE60783.2024.10617155
Sandhu, R., Channi, H. K., Ghai, D., Cheema, G. S., & Kaur, M. (2024). An Introduction to Generative AI Tools for Education 2030. In R. Doshi, M. Dadhich, S. Poddar, & K. Hiran (Eds.), Integrating Generative AI in Education to Achieve Sustainable Development Goals (pp. 1-28). IGI Global. https://doi.org/10.4018/979-8-3693-2440-0.ch001
Sugiarso, A, B., Nurjamin, A., Judijanto, L., Luluk, Luluk., Hidaya, A, A. (2024). The Effect of Artificial Intelligence in Improving Student Learning Achievement in High School. World Psychology, 3(1), 1-13. https://doi.org/10.55849/wp.v3i1.569
Sundar, R., Choudhury, Z. H., Chiranjivi, M., Parasa, G., Ravuri, P., Sivaram, M., & Muppavaram, K. (2024). Future directions of artificial intelligence integration: Managing strategies and opportunities. Journal of Intelligent & Fuzzy Systems, 46(3), 7109-7122. https://doi.org/10.3233/JIFS-238830
Suntharalingam, H. (2024). Enhancing Digital Learning Outcomes Through the Application of Artificial Intelligence: A Comprehensive Review, International Journal of Innovative Science and Research Technology, 9(4), 718-727. https://doi.org/10.38124/ijisrt/ijisrt24apr530
Swargiary, K. (2024). Embracing AI in Education: A Guide for Teachers. Lambert Academic Publishing GmbH KG.
Wang, D., Tao, Y., & Chen, G. (2024). Artificial intelligence in classroom discourse: A systematic review of the past decade. International Journal of Educational Research, 123, 102275. https://doi.org/10.1016/j.ijer.2023.102275
Wardat, Y., Tashtoush, M., AlAli, R., & Saleh, S. (2024). Artificial Intelligence in Education: Mathematics Teachers’ Perspectives, Practices and Challenges. Iraqi Journal for Computer Science and Mathematics, 5(1), 60-77. https://doi.org/10.52866/ijcsm.2024.05.01.004
Wipro. (2024). The AI Paradigm: A Special Report. Lab45 Publications. https://www.wipro.com/content/dam/nexus/en/ai/reports/the-ai-paradigm-a-special-report.pdf
Xu, Z. (2024). AI in education: Enhancing learning experiences and student outcomes. Applied and Computational Engineering. https://doi.org/10.54254/2755-2721/51/20241187
Yim, I. H. Y., & Su, J. (2024). Artificial intelligence (AI) learning tools in K-12 education: A scoping review. Journal of Computers in Education, 1-39. https://doi.org/10.1007/s40692-023-00304-9
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