ARTIFICIAL INTELLIGENCE IN EDUCATION: METHODOLOGICAL APPROACHES TO EFFECTIVE INTEGRATION

Authors

  • Gulnaz Godarova

Keywords:

Artificial Intelligence, education, personalized learning, instructional strategies, AI integration, data-driven education, educational technology.

Abstract

This article explores the role of Artificial Intelligence (AI) in education and examines methodological approaches for its effective integration into teaching and learning processes. The study highlights how AI technologies can enhance personalized learning, optimize instructional strategies, and support data-driven decision-making in educational settings. It also addresses challenges and best practices for implementing AI in schools and higher education institutions.

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References

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston, MA: Center for Curriculum Redesign.

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Wang, Y., & Heffernan, N. (2013). Using learning analytics to predict student performance. Journal of Educational Data Mining, 5(1), 1–22.

Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. A. Larusson & B. White (Eds.), Learning Analytics (pp. 61–75). Springer.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39.

Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599.

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Published

2025-10-31

How to Cite

Gulnaz Godarova. (2025). ARTIFICIAL INTELLIGENCE IN EDUCATION: METHODOLOGICAL APPROACHES TO EFFECTIVE INTEGRATION. Journal of Applied Science and Social Science, 15(10), 1618–1623. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/2287

Issue

Vol. 15 No. 10 (2025): Volume 15 Issue 10

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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