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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67477
Volume:
10 |
9 |
Sep 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Information Technology And Computer Science
D. G. Ruparel College
Information Technology And Computer Science
D. G. Ruparel College
Generative Artificial Intelligence (Gen-AI) is increasingly transforming education by providing new ways to support teaching and learning. Tools based on generative AI can create educational content, answer student questions, provide personalized explanations, generate practice questions, and support feedback. This paper examines the role of generative AI in education, focusing on its applications, benefits, challenges, and potential impact on the learning process. The study reviews existing literature on the use of Gen-AI for personalized learning, academic support, content generation, feedback, and student engagement. The reviewed research indicates that Gen-AI can improve access to individualized learning support and provide timely feedback while also helping educators with certain routine tasks. Recent research also highlights concerns about misinformation, academic integrity, privacy, bias, overreliance on AI, and unequal access to technology. Based on the reviewed literature, this paper discusses the need for responsible and human-centred integration of Gen-AI in education. The study identifies a research gap in developing effective approaches that balance the benefits of AI-assisted learning with human guidance, ethical considerations, and student learning outcomes.
KEYWORDS
Generative Artificial Intelligence (Gen-AI) is becoming an important technology in education. The reviewed studies show that Gen-AI can support personalized and adaptive learning by providing explanations, examples, learning materials, and other resources according to students’ different needs [1], [3], [4]. It can also assist teachers in preparing learning materials and lessons while providing students with additional academic support. When used with proper guidance, Gen-AI can support both teaching and learning. However, the use of Gen-AI also creates challenges such as overdependence on technology, reduced independent learning, inaccurate or misleading information, privacy concerns, and unequal access [1], [2], [3], [4], [5]. Students should therefore verify AI-generated information and continue developing their own reasoning and problem-solving skills. Teachers and educational institutions also have an important role in providing guidance and supervision. Overall, Gen-AI should support teachers and students rather than replace them. Its effective use requires human supervision, responsible practices, appropriate guidelines, and protection of student data. The existing literature is still limited by the number of long-term empirical studies. Further research is needed to understand the long-term effects of Gen-AI on learning outcomes, critical thinking, and independent learning. The educational value of Gen-AI will ultimately depend on how responsibly it is integrated into a human-centred learning environment.
[1] S. F. Rashid, N. Duong-Trung, and N. Pinkwart, “Generative AI in Education: Technical Foundations, Applications, and Challenges,” in Artificial Intelligence and Education—Shaping the Future of Learning Intech Open,2024 doi:10.5772/intechopen.1005402. [2] S. Shen, “Application of Large Language Models in the Field of Education,” Theoretical and Natural Science, vol.34no.1,pp147154,2024.doi:10.54254/2753-8818/34/20241163. [3] R. Yadav, G. Huzooreе, M. Yadav, and D. S. K. Gangodawilage, “Generative AI for Personalized Learning Content Creation,” in Transformative AI Practices for Personalized Learning Strategies. IGI Global, 2025, pp. 107– 130. doi: 10.4018/979-8-3693-8744-3.ch005. [4] V. Chamola, D. Dave, I. Goyal, and S.Sharma, “Generative Artificial Intelligence in STEM Education: A Review of Applications, Benefits and Challenges, Expert Systems, vol. 43, no. 2, Art. no. e70201, 2026. doi:10.1111/exsy.70201. [5] L. Yan, S. Greiff, Z. Teuber, and D. Gasevic, “Promises and Challenges of Generative Artificial IntelligenceforHumanLearning,”arXivpreprintarXiv:240 8.12143,2024. doi:10.48550/arXiv.2408.12143. [6] R. Deng, M. Jiang, X. Yu, Y. Lu, and S. Liu, “Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies,” Computers & Education, vol. 227, Art. no. 105224,2025.PaperLink: https://www.sciencedirect.com/science/article/pii/S 0360131524002380 [7] D. Ali et al., “ChatGPT in teaching and learning: A systematic review,” Education Sciences, vol. 14, no.6,Art.no.643,2024.PaperLink: https://www.mdpi.com/2227-7102/14/6/643 [8] M. Fuller and N. Barnes, “The impact of ChatGPT on teaching and learning in higher education,” New Directions for Higher Education, 2024, pp. 31–46. [9] G. Cooper, “Examining science education in ChatGPT: An exploratory study of generative artificial intelligence,” Journal of Science Education and Technology, vol. 32, pp. 444–452, 2023. [10] X. Wu et al., “ChatGPT’s impact on student learning outcomes: A meta-analysis of 35 experimental studies,” Humanities and Social Sciences Communications, vol. 13, Art. no. 684, 2026. Paper Link: https://doi.org/10.1057/s41599-026-07019-z
Publication Date
9/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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