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This study presents the development of AI tutors that support learners in constructionist gaming environments. AI tutor-learning support is designed to offer direct answers to learners’ questions, while AI tutor-feedback aims to evaluate code scripts based on computational thinking concepts. The AI tutors were designed through in-context learning with background prompts, ensuring tailored support and targeted feedback. The work-in-progress paper highlights the features of AI tutors and how AI alignment and tuning techniques can provide individual learning support.

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Generative AI-Enhanced Chatbot Design for Constructionist Gaming

  • 会议论文

  • 发表日期：

    2025年

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  • Gyuri Byun,
  • Jewoong Moon,
  • Chen Sun,
  • Arezoo Ghooreian

摘要

This study presents the development of AI tutors that support learners in constructionist gaming environments. AI tutor-learning support is designed to offer direct answers to learners’ questions, while AI tutor-feedback aims to evaluate code scripts based on computational thinking concepts. The AI tutors were designed through in-context learning with background prompts, ensuring tailored support and targeted feedback. The work-in-progress paper highlights the features of AI tutors and how AI alignment and tuning techniques can provide individual learning support.