Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Integrating ChatGPT into Human Morphology and Curriculum Ideology and Politic: Enhancing Learning and Engagement
1
Zitationen
6
Autoren
2024
Jahr
Abstract
In order to better play the role of ChatGPT in the teaching of human morphology and structure and cultivate more high-quality skilled nursing talents, this study combines ChatGPT and Xueyin Online for blended teaching from the perspective of Curriculum Ideology and Politics. A total of 102 students from Class 1 and Class 2 of 2023 were enrolled. We established a t-test model, and used SPSS for data measurement and statistical analysis. Nursing class 2 was the control group, and the traditional teaching method was adopted. The experimental group of nursing class 1, on the basis of the control group, combined with ChatGPT for online and offline blended teaching. Finally, the theoretical and experimental scores of the two groups were compared, the comprehensive literacy and satisfaction levels of the students was evaluated by questionnaire survey. The theoretical and practical scores of the experimental group were higher than those of the control group (P<0.05). Both the comprehensive literacy evaluation score and satisfaction levels were better than that of the control group (P<0.05). The online and offline hybrid teaching of ChatGPT based on the concept of "big ideology and politics" is significantly better than that of traditional teaching. ChatGPT provides teachers and students with a new type of AI-assisted tool to improve teaching effectiveness.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.