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Systematic Design and Validation of Programming Education Prompts Utilizing LLMs to Enhance College Students' Computational Thinking Skills

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(11), pp.417~429
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 23, 2025
  • Accepted : November 3, 2023
  • Published : November 28, 2025

Seul-ki Kim 1

1경기도교육청

Accredited

ABSTRACT

This study aimed to develop a sustainable programming education solution utilizing LLMs by designing a Programming Education Prompt (PEP) based on pedagogical perspectives and validating its effectiveness. While existing LLM-based studies have shown limitations in cost and scalability issues by focusing on the lack of pedagogical perspectives and the development of individual API-based services, this study presented a solution that can be utilized without restrictions in all educational environments through a prompt-centric approach. Applying Design-Based Research methodology, the study went through iterative cycles of design, implementation, analysis, and redesign, with a group of 12 experts participating in the development and validation of the prompts. The developed PEP consisted of three domains: concept learning, programming exercise, and debugging, and expert review confirmed high validity in all domains (CVR=0.83-1.00). In a 15-week quasi-experiment (N=46), the PEP group showed statistically significant improvement in algorithmic thinking compared to the control group (p=.010). In the evaluation domain, statistical significance was not achieved after multiple comparison correction (p=.022), but a medium-sized practical effect was identified (δ=0.41). This suggests that LLM-based programming education should be implemented through systematic design from a pedagogical perspective beyond simple utilization, and demonst.

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