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Exploring AI Literacy Changes in a Generative AI-Integrated Tactical Games Model Plate Baseball Lesson

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2026, 31(9), pp.271~279
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : June 1, 2026
  • Accepted : September 16, 2026
  • Published : September 30, 2026

Eunlim Lee 1,  Young-Gwang Seo 2,  Kwihoon Kim ORD ID 2

1솔강중학교
2한국교원대학교

Accredited

ABSTRACT

This study explored changes in high school students’ AI literacy following a plate baseball lesson integrating generative AI into the Tactical Games Model. Participants were 50 first-year students from two intact classes at a high school in Chungcheongbuk-do, with 24 in the experimental group and 26 in the comparison group. Both groups participated in eight Tactical Games Model-based lessons, while the experimental group additionally used the web-based free version of ChatGPT for tactical questioning, strategy comparison, role adjustment, and reflection. The program was developed through the ADDIE process and reviewed by 20 secondary physical education teachers. The experimental group showed increases in action planning and data literacy, with higher post-test means in several AI literacy domains. However, because each condition corresponded to a single class, class characteristics could not be separated from the instructional condition; major background variables were uncontrolled, and the group-by-time interaction was not tested. Thus, the findings were interpreted as exploratory rather than causal. GPAI records were used only as supplementary observations because descriptive statistics and inter-rater reliability were insufficient. The findings suggest that generative AI integrated into teacher-guided team activities may support tactical questioning, strategy revision, and reflective problem solving.

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