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Application of generative artificial intelligence chatbots + project task driven teaching in undergraduate nursing
Jing Shi1, Xinjin Li1, Yanhua Ning2
1School of Nursing, Ningxia Medical University, Yinchuan, Ningxia, 750004, China.
Generative artificial intelligence chatbots combined with project-based learning significantly enhanced nursing students' research skills and confidence. This innovative teaching method shows promise for future nursing education reforms.
Area of Science:
- Nursing Education
- Artificial Intelligence in Education
- Pedagogical Innovations
Background:
- Generative artificial intelligence (AI) chatbots are increasingly adopted in nursing education.
- Few studies have explored AI chatbots combined with specific teaching methodologies.
- This study introduces a novel "generative AI chatbots + project task-driven teaching" method.
Purpose of the Study:
- To investigate the impact of the "generative AI chatbots + project task-driven teaching" method.
- To assess effects on nursing undergraduates' research ability and self-efficacy.
- To evaluate student perceptions of this novel teaching approach.
Main Methods:
- A cohort of 108 nursing undergraduates participated in the study.
- Data collected via sociodemographic, self-evaluation, and curriculum effectiveness questionnaires.
- Paired t-tests were used to compare pre- and post-intervention nursing research capacity and self-efficacy.
Main Results:
- Significant improvements observed in nursing research capacity and self-efficacy (P < 0.05).
- Data processing capacity did not show significant improvement (P = 0.165).
- Most students viewed the "generative AI chatbots + project task-driven teaching" method favorably.
Conclusions:
- Nursing undergraduates adapted well to the "generative AI chatbots + project task-driven teaching" method.
- The teaching approach positively impacted nursing research ability and self-efficacy.
- This method offers a credible model for AI integration in nursing education reform.
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