Personalized Learning through Machine Teaching and Machine Learning: Enhancing Adaptive Educational Systems

Authors

    Farzaneh Nasresfahani Department of Mathematics Education, Farhangian University, P.O. Box 14665-889, Tehran, Iran
    Mohammad Reza Eslahchi * Department of Computer Science, Faculty of Mathematical Sciences, Tarbiat Modares University, P.O. Box 14115-134, Tehran. Iran eslahchi@modares.ac.ir

Keywords:

Machine teaching, Pedagogical content knowledge, Personalized learning, Machine learning

Abstract

Machine teaching, as a new approach to artificial intelligence, focuses on the purposeful design and selection of educational data to optimize the learning process. When it comes to human education, the quality of educational data plays a fundamental role in identifying and enhancing those individual characteristics of students that have the greatest impact on their learning path. This article demonstrate the role of machine teaching in personalize learning and highlights the importance of selecting data that can reveal students’ strengths and weaknesses in various skills. The results show that, in addition to accelerating his learning process, a strategic and optimal data design can provide personalized educational paths and help teachers make more effective educational decisions.

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Published

2025-11-07

Submitted

2025-07-28

Revised

2025-10-18

Accepted

2025-10-25

How to Cite

Nasresfahani, F., & Eslahchi, M. R. (2025). Personalized Learning through Machine Teaching and Machine Learning: Enhancing Adaptive Educational Systems. AI and Tech in Behavioral and Social Sciences, 3(4), 1-17. https://www.journals.kmanpub.com/index.php/aitechbesosci/article/view/4524