Integration of Game-Based Chatbot With Kahoot! for High-Alert Medication Education for Newly Graduated Nurses: A Randomized Controlled Trial

BACKGROUND: Unsafe medication administration poses significant risks to global health care, and insufficient nurse knowledge of high-alert medications (HAMs) further elevates the likelihood of errors. Integrating a game-based chatbot with Kahoot! may enhance HAM learning outcomes. METHOD: = 35). Participants completed HAM knowledge (HAMK) and HAM self-competence (HAMSC) assessments pre-intervention (T0), at training completion (T1), and 1-month post-intervention (T2). RESULTS: < .05). CONCLUSION: Both groups improved in HAM knowledge and competence, affirming the value of traditional teaching approaches. It is essential to optimize the chatbot design for enhanced learning outcomes and engagement.

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Publication Details

Journal
The Journal of Continuing Education in Nursing
Published
2026-04-06
DOI
https://doi.org/10.3928/00220124-20260216-03
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

Integration of Game-Based Chatbot With Kahoot! for High-Alert Medication Education for Newly Graduated Nurses: A Randomized Controlled Trial

Su‐Fen Cheng, Chu‐Yu Huang, Shu‐Fen Niu, Tzu-Ling Chen et al.
The Journal of Continuing Education in Nursing
AI in Service Interactions
article

Integration of Game-Based Chatbot With Kahoot! for High-Alert Medication Education for Newly Graduated Nurses: A Randomized Controlled Trial

Su‐Fen Cheng, Chu‐Yu Huang, Shu‐Fen Niu, Tzu-Ling Chen, Ming-Zhong Li, Ting-I He
article en

Abstract

BACKGROUND: Unsafe medication administration poses significant risks to global health care, and insufficient nurse knowledge of high-alert medications (HAMs) further elevates the likelihood of errors. Integrating a game-based chatbot with Kahoot! may enhance HAM learning outcomes. METHOD: = 35). Participants completed HAM knowledge (HAMK) and HAM self-competence (HAMSC) assessments pre-intervention (T0), at training completion (T1), and 1-month post-intervention (T2). RESULTS: < .05). CONCLUSION: Both groups improved in HAM knowledge and competence, affirming the value of traditional teaching approaches. It is essential to optimize the chatbot design for enhanced learning outcomes and engagement.

The Journal of Continuing Education in NursingVol. 57(5)
National Yang Ming Chiao Tung University (TW), Cedarville University (US), National Taipei University of Nursing and Health Science (TW), Women’s Health Care (US), Science Health Allied Research Education (IN), Memorial Hospital (US)
Quality Education
Openalex Percentile: Top 31%
AI in Service Interactions
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