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Effects of Reinforcement learning-based AI Education on Attitudes toward AI Technology in Elementary School Students

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(5), pp.183~190
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : April 16, 2025
  • Accepted : May 14, 2025
  • Published : May 30, 2025

Seok-Yeong Lee 1 Kwihoon Kim ORD ID 1 Ki-Sang Song 1

1한국교원대학교

Accredited

ABSTRACT

Recently, a variety of AI education programs have been actively developed in elementary schools, but most are based on supervised learning, which may lead to the misconception that "machine learning equals supervised learning." In contrast, reinforcement learning mirrors human learning processes and can be effectively demonstrated through games. This study applied reinforcement learning to an AI education program to promote more positive perceptions of AI among elementary students. The 2022 revised national curriculum was analyzed to design the program, and a side-scrolling web game was developed to help students experience the role of an agent and understand reinforcement learning principles. The program was implemented in two 6th-grade classes: one received the reinforcement learning-based program with the game, and the other participated in a conventional AI education program. The results showed that this program positively influenced students’ attitudes toward AI technology. ▸Key words: Informatics Education, AI Education, Machine Learning,

Citation status

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