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

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 pr...

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Detalles Bibliográficos
Autores principales: Hsu, Mei-Hua, Chan, Tien-Ming, Yu, Chi-Shun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002060/
https://www.ncbi.nlm.nih.gov/pubmed/36901193
http://dx.doi.org/10.3390/ijerph20054185
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author Hsu, Mei-Hua
Chan, Tien-Ming
Yu, Chi-Shun
author_facet Hsu, Mei-Hua
Chan, Tien-Ming
Yu, Chi-Shun
author_sort Hsu, Mei-Hua
collection PubMed
description 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.
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spelling pubmed-100020602023-03-11 Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning Hsu, Mei-Hua Chan, Tien-Ming Yu, Chi-Shun Int J Environ Res Public Health Article 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. MDPI 2023-02-26 /pmc/articles/PMC10002060/ /pubmed/36901193 http://dx.doi.org/10.3390/ijerph20054185 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hsu, Mei-Hua
Chan, Tien-Ming
Yu, Chi-Shun
Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning
title Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning
title_full Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning
title_fullStr Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning
title_full_unstemmed Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning
title_short Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning
title_sort termbot: a chatbot-based crossword game for gamified medical terminology learning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002060/
https://www.ncbi.nlm.nih.gov/pubmed/36901193
http://dx.doi.org/10.3390/ijerph20054185
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