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Promoting Critical Thinking and Digital Literacy in Nursing Students Through AI-Powered Podcasting: A Mixed-Methods
Piyanut Xuto1, Piyaporn Prasitwattanaseree1, Tareewan Chaiboonruang1
1Faculty of Nursing, Chiang Mai University, 110/406 Intawaroros rd., Suthep, Muang, Chiang Mai 50200, Thailand.
AI-assisted podcasting significantly improved nursing students' critical thinking and digital literacy. This intervention transformed student anxiety into empowerment, highlighting AI's role in modern nursing education.
Area of Science:
- Nursing Education
- Educational Technology
- Artificial Intelligence in Healthcare
Background:
- Generation Z nursing students require enhanced critical thinking and digital literacy.
- Maternal-newborn care necessitates strong evidence-based practice skills.
- Traditional nursing education struggles to meet these evolving needs.
Purpose of the Study:
- To assess the impact of an AI-assisted podcasting intervention on nursing students' critical thinking.
- To evaluate the effect of this intervention on digital literacy.
- To explore student experiences with AI tools in podcast creation.
Main Methods:
- Convergent mixed-methods design with 48 third-year nursing students.
- Students utilized AI tools (Sci Space, Notebook LM) for podcast creation.
- Quantitative data analyzed with paired t-tests; qualitative data from focus groups underwent thematic analysis.
Main Results:
- Significant increase in critical thinking scores (89.71 to 117.29, p < 0.001).
- Significant improvement in digital literacy scores (37.98 to 46.94, p < 0.001).
- Qualitative themes included: anxiety to empowerment, AI as a scaffold, tool utility, and clinical application.
Conclusions:
- AI-assisted podcasting shows potential for enhancing critical thinking and digital literacy in nursing students.
- The intervention fostered a sense of empowerment and highlighted practical AI applications.
- Further research is needed due to the pre-post design and single-institution sample.
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