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AI Classification of Learning Concentration Tendency of Elementary School Students Based on the Rey–Osterrieth Complex Figure Test

  • Journal of Studies on Schools and Teaching
  • Abbr : JSST
  • 2023, 8(2), pp.195-214
  • DOI : 10.23041/jsst.2023.8.2.006
  • Publisher : Education Research Institute at CNUE
  • Research Area : Social Science > Education
  • Received : July 3, 2023
  • Accepted : August 31, 2023
  • Published : August 31, 2023

JeongHye Han 1 Sihoon Lee 2 Park Young Hee 1

1청주교육대학교
2충북대학교

Accredited

ABSTRACT

This study aims to investigate the applicability of a machine learning–based image classification model for determining the academic concentration of elementary school students. To this end, a model employing supervised learning was developed and implemented using the results of the Rey–Osterrieth complex figure test, which measures students’ cognitive abilities via an image test. Five classification models were developed based on the type of test result image. After five random instances of learning, test data were applied and analyzed. The F1-score measurement results of the model were extremely high. Future enhancements are anticipated to allow the use of the model for determining elementary school students’ learning concentration.

Citation status

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