Published on: May 2026
AI IN EDUCATION
Shubham Mishra Apoorv Singh Pranshu Garg Virendra Kushwaha
Virendra Tiwari
Article Status
Available Documents
Abstract
Artificial Intelligence (AI) has emerged as one of the most influential technologies in the field of education. With the rapid growth of digital learning platforms, AI is being widely used to improve teaching methods, enhance student learning experiences, and automate various academic processes
.This review paper explores how AI technologies such as machine learning, natural language processing, and intelligent tutoring systems are transforming traditional education systems into smart learning environments. It discusses major applications like personalized learning, automated grading, virtual assistants, and predictive analytics.
The paper also highlights the advantages of AI, including improved learning efficiency, time-saving for teachers, and better decision-making. However, challenges such as data privacy, lack of infrastructure, and ethical concerns are also examined.
Finally, this review identifies research gaps and future opportunities, concluding that AI has the potential to revolutionize education if implemented responsibly and effectively.
How to Cite this Paper
Mishra, S., Singh, A., Garg, P. & Kushwaha, V. (2026). AI in Education. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.173
Mishra, Shubham, et al.. "AI in Education." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.173.
Mishra, Shubham,Apoorv Singh,Pranshu Garg, and Virendra Kushwaha. "AI in Education." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.173.
Search & Index
References
- Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
- Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.
- Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. Learning Analytics,
- Woolf, B. P. (2010). Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing E-Learning. Morgan Kaufmann.
- Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of Intelligent Tutoring Systems. Review of Educational
- Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access.
- Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education.
- Siemens, G., & Baker, R. (2012). Learning analytics and educational data mining. Proceedings of the 2nd International Conference on Learning Analytics.
- Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education.
- Nkambou, , Bourdeau, J., & Mizoguchi, R. (2010).Advances in Intelligent Tutoring Systems. Springer.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: May 06 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.