INNOVATIVE APPROACHES TO THE USE OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION

Authors

  • Jasur Djoʻrayevich Ashurov PhD, Associate Professor, Department of General Technical Sciences, Asia International University

DOI:

https://doi.org/10.55640/

Keywords:

artificial intelligence, higher education, innovative approach, adaptive learning, learning analytics, digital transformation.

Abstract

This article analyzes innovative approaches to the use of artificial intelligence (AI) technologies in the higher education system from both theoretical and practical perspectives. In the context of digital transformation, the integration of AI-based adaptive learning systems, learning analytics, intelligent assessment platforms, and virtual assistants into university activities has become increasingly relevant. The study employed systematic analysis, a comparative approach, a pedagogical experiment, and statistical data processing methods. The results indicate that an AI-supported learning process enhances students’ academic performance, increases teaching effectiveness, and enables the formation of individualized learning trajectories. The article also discusses ethical, legal, and technical challenges arising from the implementation of artificial intelligence technologies.

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References

1.UNESCO. (2021). Artificial intelligence and education: Guidance for policy-makers. UNESCO Publishing.

2.World Economic Forum. (2023). Shaping the future of learning: The role of AI in education 4.0. World Economic Forum.

3.Holmes, Wayne, Bialik, Maya, & Fadel, Charles. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

4.Luckin, Rose, Holmes, Wayne, Griffiths, Mark, & Forcier, Laurie. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.

5.Siemens, George, & Baker, Ryan S.. (2012). Learning analytics and educational data mining: Towards communication and collaboration. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK ’12), 252–254.

6.Zawacki-Richter, Olaf, Marín, Victoria I., Bond, Melissa, & Gouverneur, Franziska. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39), 1–27.

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

8.OECD. (2021). AI and the future of skills, volume 1: Capabilities and assessments. OECD Publishing.

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Published

2026-02-15

Issue

Vol. 5 No. 02 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

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

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

INNOVATIVE APPROACHES TO THE USE OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(02), 1186-1188. https://doi.org/10.55640/

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