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Validation of the effectiveness of AI-Based Personalized Adaptive Learning: Focusing on basic math class cases

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2023, 9(3), pp.35-43
  • DOI : 10.20465/KIOTS.2023.9.3.035
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : March 19, 2023
  • Accepted : April 30, 2023
  • Published : June 30, 2023

Burm,EunAe 1 Chun Yeol Eo 1 Han Ji Youn ORD ID 2

1백석문화대학교
2백석문화대학교 치위생과

Accredited

ABSTRACT

This study tried to find out the applicability and effectiveness of the AI-based adaptive learning system in university classes by operating an AI-based adaptive learning system on a pilot basis. To this end, an AI-based adaptive learning system was applied to analyze the operation results of 42 learners who participated in basic mathematics classes, and a survey and in-depth interviews were conducted with students and professors. As a result of the study, the use of an AI-based customized learning system improved students' academic achievement. Both instructors and learners seem to contribute to improving learning performance in basic concept learning, and through this, the AI-based adaptive learning system is expected to be an effective way to enhance self-directed learning and strengthen knowledge through concept learning. It is expected to be used as basic data related to the introduction and application of basic science subjects for AI-based adaptive learning systems. In the future, we suggest a strategy study on how to use the analyzed data and to verify the effect of linking the learning process and analyzed data provided to students in AI-based customized learning to face-to-face classes.

Citation status

* References for papers published after 2023 are currently being built.