DOI: 10.17587/prin.13.354-359

Curriculum Personalization through the Application of Reinforcement Learning Algorithms

E. E. Ermilov, Lead Data Scientist, egor.e.ermilov@gmail.com, A. V. Postnyi, Deputy Head of Methodological Department, alekh.po@gmail.com, Limited liability company Interda, Moscow, 117639, Russian Federation

Corresponding author: Egor E. Ermilov, Lead Data Scientist,Limited liability company "Interda", Moscow, 117639, Russian Federation, E-mail: egor.e.ermilov@gmail.com

Individual curriculum Personalization contributes to improving the education quality. It takes into account the individual issues of each student and changes the program accordingly. This article discusses the application of recommender algorithms and Markov decision-making process to the problem of making an individual students schedule. The algorithm is based on the collected historical data of assessments both to identify the most effective lesson chains among all students, and to combine individual lesson chains.

Keywords: education, personalization, artificial intelligence, machine learning, curriculum, schedule, reinforcement learning

pp. 354—359

For citation:
Ermilov E. E., Postnyi A. V. Curriculum Personalization through the Application of Reinforcement Learning Algorithms, Programmnaya Ingeneria, 2022, vol. 13, no. 7, pp. 354—359.