Gamified mobile learning: An escape room chatbot to enhance medical terminology acquisition

Objective: The medical terminology escape room game (MTEG) is a chatbot designed for gamified education that aims to transform memorizing complex medical terminology into an enjoyable experience for medical students. By combining elements of ARCS (Attention, Relevance, Confidence and Satisfaction) theory with escape room adventures, the MTEG aims to enhance medical students’ learning outcomes by making the vocabulary memorization process more immersive. Method: This study involved 48 first-year nursing students, divided into an experimental group ( n = 24) and a control group ( n = 24). The experimental group utilized the MTEG for self-study, while the control group relied on traditional learning methods. The study assessed learning outcomes through pre-tests and post-tests and used the ARCS Learning Motivation Questionnaire to assess learning motivation. Results: Results showed that the experimental group significantly improved learning motivation, with an average ARCS score increased from 3.82 to 4.33 on a 5-point scale. A medical terminology test result also revealed that the experimental group (mean score: 95.83, SD = 5.22) performed better than the control group (mean score: 91.22, SD = 6.21), with a larger effect size (Cohen’s d = 1.52). Conclusion: These findings highlight the potential of gamification techniques to enhance medical terminology acquisition and language learning experience. By incorporating gamification elements, MTEG greatly increased the enjoyment of the learning process, encouraged active participation and significantly improved motivation and performance.

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Publication Details

Journal
Health Education Journal
Published
2025-02-06
DOI
https://doi.org/10.1177/00178969241313442
Citations
3
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
7.44
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article

Gamified mobile learning: An escape room chatbot to enhance medical terminology acquisition

Mei‐Hua Hsu, Yifan Wang, Max Yue-Feng Wang
3 citations
Health Education Journal
AI in Service Interactions
7.44
article

Gamified mobile learning: An escape room chatbot to enhance medical terminology acquisition

Mei‐Hua Hsu, Yifan Wang, Max Yue-Feng Wang
article en
3 citations

Abstract

Objective: The medical terminology escape room game (MTEG) is a chatbot designed for gamified education that aims to transform memorizing complex medical terminology into an enjoyable experience for medical students. By combining elements of ARCS (Attention, Relevance, Confidence and Satisfaction) theory with escape room adventures, the MTEG aims to enhance medical students’ learning outcomes by making the vocabulary memorization process more immersive. Method: This study involved 48 first-year nursing students, divided into an experimental group ( n = 24) and a control group ( n = 24). The experimental group utilized the MTEG for self-study, while the control group relied on traditional learning methods. The study assessed learning outcomes through pre-tests and post-tests and used the ARCS Learning Motivation Questionnaire to assess learning motivation. Results: Results showed that the experimental group significantly improved learning motivation, with an average ARCS score increased from 3.82 to 4.33 on a 5-point scale. A medical terminology test result also revealed that the experimental group (mean score: 95.83, SD = 5.22) performed better than the control group (mean score: 91.22, SD = 6.21), with a larger effect size (Cohen’s d = 1.52). Conclusion: These findings highlight the potential of gamification techniques to enhance medical terminology acquisition and language learning experience. By incorporating gamification elements, MTEG greatly increased the enjoyment of the learning process, encouraged active participation and significantly improved motivation and performance.

Health Education JournalVol. 84(2)
Pennsylvania State University (US), Chang Gung University of Science and Technology (TW), Decision Sciences (United States) (US), National Taipei University of Business (TW)
Openalex Percentile: Top 4%
AI in Service Interactions
7.44
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Gamified mobile learning: An escape room chatbot to enhance medical terminology acquisition — Mei‐Hua Hsu, Yifan Wang, et al. · Health Education Journal (2025) | TGRS Research Map | TGRS