Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM67477

Generative AI in Education, Opportunities, Challenges and Impact on Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67477

Volume:

10 |

9 |

Sep 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

Share this article:

Authors

DDC

Diksha Dilip Chavan

Information Technology And Computer Science

D. G. Ruparel College

Download Author Certificate
ASG

Aarti Sanjay Gawai

Information Technology And Computer Science

D. G. Ruparel College

Download Co-Author Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

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 AI Artificial Intelligence Education Personalized Learning AI-Assisted Learning Student Engagement accuracy academic integrity privacy bias and responsible AI use.

Cite This Article

Diksha Dilip Chavan, Aarti Sanjay Gawai, "Generative AI in Education, Opportunities, Challenges and Impact on Learning," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 9, pp. 1-6, Sep 2026.

Full Article/Conclusion

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.

References

[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

Editorial & Review Transparency

Publication Date

9/26/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

1

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...