PEDAGOGICAL EFFECTIVENESS OF AI-BASED ADAPTIVE LEARNING SYSTEMS
Main Article Content
Abstract
This paper analyses the pedagogical effectiveness of AI-based adaptive learning systems in higher education. Findings of international meta-analyses are summarized to highlight the impact of adaptive systems on learning outcomes, the factors determining their effectiveness and the criteria for its assessment. The methodological conditions for using adaptive platforms to develop students' cognitive competencies are substantiated.
Downloads
Article Details
Section

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
References
Bloom B.S. The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring // Educational Researcher. – 1984. – Vol. 13, No. 6. – P. 4–16.
Decree of the President of the Republic of Uzbekistan No. PF-5847 of 8 October 2019 “On Approval of the Concept for the Development of the Higher Education System of the Republic of Uzbekistan until 2030”.
Resolution of the President of the Republic of Uzbekistan No. PQ-4996 of 17 February 2021 “On Measures to Create Conditions for the Accelerated Introduction of Artificial Intelligence Technologies”.
Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. – Boston: Center for Curriculum Redesign, 2019.
VanLehn K. The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems // Educational Psychologist. – 2011. – Vol. 46, No. 4. – P. 197–221.
Ma W., Adesope O.O., Nesbit J.C., Liu Q. Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis // Journal of Educational Psychology. – 2014. – Vol. 106, No. 4. – P. 901–918.
Kulik J.A., Fletcher J.D. Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review // Review of Educational Research. – 2016. – Vol. 86, No. 1. – P. 42–78.
Zawacki-Richter O., Marín V.I., Bond M., Gouverneur F. Systematic review of research on artificial intelligence applications in higher education – where are the educators? // International Journal of Educational Technology in Higher Education. – 2019. – Vol. 16. – Article 39.
Cohen J. Statistical Power Analysis for the Behavioral Sciences. – 2nd ed. – Hillsdale, NJ: Lawrence Erlbaum Associates, 1988.
Тоджиев А., Норкузиев К. The role of artificial intelligence technology in individualized teaching //Информатика и инженерные технологии. – 2023. – Т. 1. – №. 2. – С. 153-156.
Zaripova , D. A., & Tojiyev , A. (2026). RAQAMLI TA’LIM PLATFORMALARIDA O’QUV MATERIALLARINING SEMANTIK MOSLIGINI BAHOLASH: https://doi.org/10.5281/zenodo.20620862. Scientific Practical Conference, 1(2), 214-221. https://d-pressa.com/index.php/spc/article/view/832
Tojiyev , A., & O‘rozqulov , S. (2025). A LINEAR REGRESSION MODEL FOR PREDICTING STUDENTS’ FINAL TEST SCORES BASED ON ASSESSMENT RESULTS. Scientific Practical Conference, 1(1), 30-33. https://d-pressa.com/index.php/spc/article/view/160
Kuvandikov J. T., Tojiyev A. H. TA’LIM OLUVCHILAR BILIMINI BAHOLASHDA NORAVSHAN MANTIQDAN FOYDALANISH //MANAGEMENT AND ECONOMICS SCIENTIFIC RESEARCH JOURNAL. – 2025. – Т. 2. – №. 2. – С. 390-393.