Published on: May 2026
ARTIFICIAL INTELLIGENCE IN TEACHING AND LEARNING: OPPORTUNITIES, CHALLENGES, AND FUTURE DIRECTIONS
Dr. T. Mahendran
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Abstract
Artificial Intelligence (AI) is reshaping education through its evolution from early computer-based instruction to advanced adaptive learning systems, MOOCs, and intelligent tutoring technologies. AI applications such as virtual tutors, chatbots, and learning analytics enable personalized, flexible, and 24/7 learning support. These innovations align with major learning theories—constructivism, connectivism, cognitivism, and behaviourism—enhancing engagement and knowledge construction. Platforms like SWAYAM further promote accessibility and inclusive education. However, challenges such as data privacy, algorithmic bias, and the need to preserve human teaching roles remain critical. Effective and ethical integration of AI can significantly improve educational quality, equity, and learner outcomes.
How to Cite this Paper
Mahendran, T. (2026). Artificial Intelligence in Teaching and Learning: Opportunities, Challenges, and Future Directions. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.156
Mahendran, T.. "Artificial Intelligence in Teaching and Learning: Opportunities, Challenges, and Future Directions." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.156.
Mahendran, T.. "Artificial Intelligence in Teaching and Learning: Opportunities, Challenges, and Future Directions." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.156.
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- •Published on: May 07 2026
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