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Can reinforcement learning agents be e-teachers? Application of machine learning in education


[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ S ] student | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication


Chapter type

chapter in monograph / paper

Publication language


  • reinforcement learning
  • education
  • e-learning

EN E-learning systems are ubiquitous across the whole world. These systems depend on teachers who manually assign tasks to be solved by students in order to optimally develop their skills. However, this is possible only when a teacher runs a course with a small number of students. In large groups teachers are not able to track learning needs of each student. Supporting human teachers with machine learning-based recommendations may allow providing fully personalized learning experience regardless of course size. This paper investigates the possibility of using reinforcement learning algorithms to provide such support. We prepared an environment simulating an e-learning platform. Then we performed an experiment, in which a reinforcement learning agent sets tasks to students to develop their skills. Our experiments show that machine learning algorithms are able to efficiently teach students to increase their level of skill proficiency.

Pages (from - to)

195 - 198



Proceedings of the 3rd Polish Conference on Artificial Intelligence PP-RAI'2022, April 25-27, 2022, Gdynia, Poland

Presented on

3rd Polish Conference on Artificial Intelligence PP-RAI'2022, 25-27.04.2022, Gdynia, Polska

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / chapter


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