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Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning

Author

Listed:
  • Mei-Hua Hsu

    (Center for General Education, Chang Gung University of Science and Technology, Taoyuan City 33303, Taiwan)

  • Tien-Ming Chan

    (Chang Gung Memorial Hospital, Chang Gung University, Taoyuan City 33303, Taiwan)

  • Chi-Shun Yu

    (Department of Electrical Engineering, National Taipei University of Technology, Taipei City 10608, Taiwan)

Abstract

Medical terminology can be challenging for healthcare students due to its unfamiliar and lengthy terms. Traditional methods such as flashcards and memorization can be ineffective and require significant effort. To address this, an online chatbot-based learning model called Termbot was designed to provide an engaging and convenient method for enhancing medical terminology learning. Termbot, accessible through the LINE platform, offers crossword puzzles that turn boring medical terms into a fun learning experience. An experimental study was conducted, which showed that students who trained with Termbot made significant progress in learning medical terms, demonstrating the potential of chatbots to improve learning outcomes. Termbot’s gamified approach to learning can also be applied to other fields, making it a useful tool for students to learn medical terminology conveniently and enjoyably.

Suggested Citation

  • Mei-Hua Hsu & Tien-Ming Chan & Chi-Shun Yu, 2023. "Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning," IJERPH, MDPI, vol. 20(5), pages 1-15, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4185-:d:1081045
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    Cited by:

    1. Zied Bahroun & Chiraz Anane & Vian Ahmed & Andrew Zacca, 2023. "Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis," Sustainability, MDPI, vol. 15(17), pages 1-40, August.

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