The Impact of Artificial Intelligence on Education: The Applications, Advantages, Challenges and Researchers’ Perspective

Authors

Dr. Shailja Shuka

Professor, Sanjeev Agrawal Global Educational University, Bhopal (India)

Qudsia Afroz

Scholar, Sanjeev Agrawal Global Educational University, Bhopal (India)

Dr. Sheeba Khan

Assistant Professor, Institute for Excellence in Higher Education, Bhopal M.P (India)

Article Information

DOI: 10.51244/IJRSI.2026.1313CS027

Subject Category: Computer Science

Volume/Issue: 13/13 | Page No: 344-353

Publication Timeline

Submitted: 2026-08-26

Accepted: 2026-08-31

Published: 2026-09-15

Abstract

Artificial Intelligence (AI) has transformed education through various applications, including Generative Artificial Intelligence (AIGC), Chatbots, Intelligent Tutoring Systems (ITS), and Large Language Models (LLMs). Key applications included personalized learning support through chatbots and ITS, generative AI for writing assistance and assessment, AI-driven predictive models, and innovative approaches like project-based and game-based learning. Advantages highlighted were efficiency enhancement, inspiration and creative support, personalized learning experiences, and automation of repetitive tasks. However, challenges persisted, including academic integrity concerns, potential suppression of creativity and critical thinking, inaccurate or biased information, overemphasizing outcomes over processes, and accessibility and fairness issues. Additionally, researchers’ perspectives on AIGC emphasized its transformative potential while underscoring ethical considerations. The paper concluded with reflections on educators’ responsibilities in embracing AI, fostering AI literacy, and promoting equitable and ethical integration of AI tools in education. CCS CONCEPTS: Computing methodologies → Artificial intelligence

Keywords

Artificial Intelligence (AI); Generative Artificial Intelligence (AIGC); Large Language Models (LLMs); chatbots; Intelligent Tutoring Systems (ITS)

Downloads

References

1. L. Chen, P. Chen, and Z. Lin, ‘Artificial intelligence in education: A review’, Ieee Access, vol. 8, pp. 75264–75278, 2020. [Google Scholar] [Crossref]

2. I. Goodfellow et al., ‘Generative adversarial networks’, Commun. ACM, vol. 63, no. 11, pp. 139–144, 2020. [Google Scholar] [Crossref]

3. D. P. Kingma, ‘Auto-encoding variational bayes’, ArXiv Prepr. ArXiv13126114, 2013. [Google Scholar] [Crossref]

4. OpenAI, Introducing ChatGPT, Nov. 30, 2022. [Online]. Available: https://openai.com/index/chatgpt/ [Google Scholar] [Crossref]

5. I. Erbaş and E. Maksuti, ‘The Impact of Artificial Intelligence on Education’, Int. J. Innov. Res. Multidiscip. Educ., 2024, [Online]. Available: https://api.semanticscholar.org/CorpusID:269183229 [Google Scholar] [Crossref]

6. C. I. Chang, W. C. Choi, and I. C. Choi, ‘A Systematic Literature Review of the Opportunities and Advantages for AIGC (OpenAI ChatGPT, Copilot, Codex) in Programming Course’, in Proceedings of the 2024 7th International Conference on Big Data and Education, 2024. [Google Scholar] [Crossref]

7. I. Atmosukarto, H. T. Ng, M. F. Osman, J. Jasin, P. Iyer, and W. S. Cheow, ‘Enhancing Adaptive Online Chemistry Learning: A Case Study on the Impact of QA Tutor Support’, in 2024 IEEE Frontiers in Education Conference (FIE), IEEE, 2024. [Google Scholar] [Crossref]

8. D. M. Maia, E. F. F. Da Silva, S. C. dos Santos, and A. Santana, ‘An Intelligent Tutoring System Proposal Based on Chatbot and Learning Styles to the Project Management Study’, in 2024 IEEE Frontiers in Education Conference (FIE), IEEE, 2024. [Google Scholar] [Crossref]

9. F. Kamalov, D. Santandreu Calonge, and I. Gurrib, ‘New era of artificial intelligence in education: Towards a sustainable multifaceted revolution’, Sustainability, vol. 15, no. 16, p. 12451, 2023. [Google Scholar] [Crossref]

10. E. F. Woolever and S. G. Wettstein, ‘Innovative Practice: Incorporating ChatGPT Into Technical Writing Assignments in Chemical Engineering Education’, in 2024 IEEE Frontiers in Education Conference (FIE), IEEE, 2024. [Google Scholar] [Crossref]

11. A. Çayır, ‘A Literature Review on the Effect of Artificial Intelligence on Education’, J. Hum. Soc. Sci., vol. 6, no. 2, pp. 276–288, 2023. [Google Scholar] [Crossref]

12. K. von Hausswolff, C. Björkman, and G. Dodig Crnkovic, ‘A Critical Examination of Machine Learning as a Tool to Predict Performance of Students in CS1′, in 2024 IEEE Frontiers in Education Conference (FIE), IEEE, 2024. [Google Scholar] [Crossref]

13. S. A. A. Albakri, M. Bikanga Ada, and A. Morrison, ‘Applying Machine Learning Techniques on Self-Reported Engagement and Student Log Data to Predict CS Learning Performance’, in 2024 IEEE Frontiers in Education Conference (FIE), IEEE, 2024. [Google Scholar] [Crossref]

14. S. Conrad and D. Murphy, ‘Incorporating Privacy and Data Awareness in the Development of Artificial Intelligence Applications’, in 2024 IEEE Frontiers in Education Conference (FIE), IEEE, 2024. [Google Scholar] [Crossref]

15. S. Y. Tadimalla, R. Figard, and Y. Song, ‘Anti-Ableist Approach to AI Identity: How to Move Towards the Centering of Accessibility in AI Development’, in 2024 IEEE Frontiers in Education Conference (FIE), IEEE, 2024. [Google Scholar] [Crossref]

16. M. Chassignol, A. Khoroshavin, A. Klimova, and A. Bilyatdinova, ‘Artificial Intelligence trends in education: a narrative overview’, Procedia Comput. Sci., vol. 136, pp. 16–24, 2018. [Google Scholar] [Crossref]

17. D. Dolezal, Y. Velaj, L. Spreitzer, and C. Plant, ‘Fostering Agile IT Project Management and Interpersonal Skills Using AI-Enhanced Game-Based Learning’, in 2024 IEEE Frontiers in Education Conference (FIE), IEEE, 2024. [Google Scholar] [Crossref]

18. V. A. Kusam, S. Shrestha, K. Kattan, B. Maxim, and Z. Song, ‘A PBL-Based Mini Course Module for Teaching Computer Science Students to Utilize Generative AI for Enhanced Learning’, in 2024 IEEE Frontiers in Education Conference (FIE), IEEE, 2024. [Google Scholar] [Crossref]

19. J. Huang, S. Saleh, and Y. Liu, ‘A review on artificial intelligence in education’, Acad. J. Interdiscip. Stud., vol. 10, no. 3, 2021. [Google Scholar] [Crossref]

20. A. K. Singh, ‘Impact of Generative AI on Educational Sector’, Int. J. Sci. Res. Eng. Manag., 2024, [Online]. Available: https://api.semanticscholar.org/CorpusID:269151669 [Google Scholar] [Crossref]

21. A. B. Yadav, ‘The Development of AI with Generative Capabilities and Its Effect on Education’, 2024. [Google Scholar] [Crossref]

22. K. Kadaruddin, ‘Empowering education through Generative AI: Innovative instructional strategies for tomorrow’s learners’, Int. J. Bus. Law Educ., vol. 4, no. 2, pp. 618–625, 2023. [Google Scholar] [Crossref]

23. R. AlAli, Y. Wardat, K. Al-Saud, and K. A. Alhayek, ‘Generative AI in Education: Best Practices for Successful Implementation’, Int. J. Relig., vol. 5, no. 9, pp. 1016–1025, 2024. [Google Scholar] [Crossref]

24. C. D. Kloos et al., ‘How can Generative AI Support Education?’, in 2024 IEEE Global Engineering Education Conference (EDUCON), IEEE, 2024, pp. 1–7. [Google Scholar] [Crossref]

25. E. O. Baek and R. V. Wilson, ‘An Inquiry Into the Use of Generative AI and Its Implications in Education: Boon or Bane’, Int. J. Adult Educ. Technol. IJAET, vol. 15, no. 1, pp. 1–14, 2024. [Google Scholar] [Crossref]

26. S. Maity and A. Deroy, ‘Generative ai and its impact on personalized intelligent tutoring systems’, ArXiv Prepr. ArXiv241010650, 2024. [Google Scholar] [Crossref]

27. C. I. Chang, W. C. Choi, and I. C. Choi, ‘Challenges and Limitations of Using Artificial Intelligence Generated Content (AIGC) with ChatGPT in Programming Curriculum: A Systematic Literature Review’, in Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference, 2024. [Google Scholar] [Crossref]

28. C. Preiksaitis and C. Rose, ‘Opportunities, challenges, and future directions of generative artificial intelligence in medical education: scoping review’, JMIR Med. Educ., vol. 9, p. e48785, 2023. [Google Scholar] [Crossref]

29. U. Mittal, S. Sai, V. Chamola, and others, ‘A comprehensive review on generative AI for education’, IEEE Access, 2024. [Google Scholar] [Crossref]

30. A. I. Kapterev, ‘Challenges of generative artificial intelligence for the higher education system’, RUDN J. Informatiz. Educ., vol. 20, no. 3, pp. 255–264, 2023. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles