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.
Authors
- Su‐Fen Cheng (ORCID: https://orcid.org/0000-0003-0478-1046)
- Chu‐Yu Huang (ORCID: https://orcid.org/0000-0002-6610-1360)
- Shu‐Fen Niu
- Tzu-Ling Chen
- Ming-Zhong Li
- Ting-I He
Institutions
- 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)
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
- 0.00