Abstract
Artificial Intelligence (AI) has the potential to revolutionize education by enhancing the learning experience for students and supporting teachers in their instructional practices. By leveraging AI methods such as intelligent tutoring systems, virtual assistants, and data analytics, classrooms can become more personalized, engaging, and efficient. Students benefit from personalized learning pathways, adaptive feedback, and collaborative opportunities, leading to improved comprehension, critical thinking skills, and self-directed learning. Teachers, on the other hand, can automate administrative tasks, gain data-driven insights into student performance, and implement personalized instructional strategies. The integration of AI in education holds the promise of improved learning outcomes, increased efficiency, and a transformative educational experience for all stakeholders.
References
Azevedo, R., & Dimitrova, V. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning.
Zimmerman, M. Teaching AI: Exploring New Frontiers for Learning.
Luckin, R. AI in Education: Promises and Implications for Teaching and Learning.
Zhou, Z.-H., Zhu, X., & Huang, J. Z. Artificial Intelligence in Education: 18th International Conference, AIED 2017, Wuhan, China, June 28 - July 1, 2017, Proceedings.
Paquette, L., Ogan, A., & Liu, Z. Artificial Intelligence in Education: 19th International Conference, AIED 2018, London, UK, June 27-30, 2018, Proceedings.
Sheehy, K., & Goodley, D. M. Artificial Intelligence and Inclusive Education: Speculating and Reflecting on Possibilities.
Wang, C. F. H., & Jiang, T. Artificial Intelligence and Education.
Michaelson, G., & Pease, A. AI and Education: The Road Ahead.
Biswas, G., Bull, S., Kay, J., & Mitrovic, A. Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology.
Nkambou, R., Azevedo, R., & Vassileva, J. Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings.
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