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Developing AI literacy in medical and health professions education: Exploring ChatGPT, ChatBots development, and
Lior Naamati-Schneider1, Dorit Alt2
1Health Systems Management Department, Jerusalem Multidisciplinary College, Israel.
AI learning activities like ChatGPT and ChatBot development impact student skills. ChatBot creation significantly boosted intrinsic motivation and perceived competence in health management students.
Area of Science:
- Educational Technology
- Artificial Intelligence in Education
- Health Professions Education
Background:
- Artificial Intelligence (AI) integration is transforming medical and health professions education.
- Digital literacy now includes essential prompting skills for effective AI interaction.
- Developing precise AI queries is a critical new skill for healthcare professionals.
Purpose of the Study:
- To examine the impact of AI-driven learning activities on students' prompting skills.
- To assess how ChatGPT-based learning and ChatBot development influence intrinsic motivation.
- To evaluate these impacts within a simulation-based learning framework.
Main Methods:
- A two-phase intervention involved ChatGPT-guided analysis and ChatBot creation.
- 80 undergraduate health management students participated in simulation-based learning.
- Prompting skills and motivation were measured using validated scales and analyzed with t-tests and SEM.
Main Results:
- No significant difference in prompting skills was observed between ChatGPT and ChatBot activities.
- ChatBot development significantly enhanced students' intrinsic motivation.
- Perceived competence was notably improved through ChatBot development.
Conclusions:
- Structured AI integration, particularly hands-on ChatBot creation, enhances student motivation and learning.
- Educational frameworks must balance technical AI skills with critical thinking and ethics.
- Preparing health professions students for AI-driven healthcare requires comprehensive educational strategies.
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