用人工智能重新定义教学法：护理专业学生如何塑造学习的未来

IF 3.3 3区医学 Q1 NURSING

Nurse Education in Practice Pub Date : 2025-03-01 DOI:10.1016/j.nepr.2025.104330

Animesh Ghimire , Yunjing Qiu

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引用次数: 0

摘要

目的本研究旨在探讨影响本科护生在学习中使用人工智能（AI）工具的因素，研究这种使用如何影响他们的学习经历和对传统教学方法的看法。人工智能与医疗保健的融合正在迅速改变临床实践，这反过来又需要护理教育的相应转变。虽然人工智能在教育中的潜在好处和挑战被广泛讨论，但有限的研究集中在护理学生如何在护理学习中具体使用这些工具以及这如何影响他们的学习过程。设计采用探索性和描述性设计的定性研究。方法研究对象为某大专院校护理专业本科学生。访谈数据采用主题分析法进行分析。结果护理专业学生使用人工智能进行个性化学习，弥合理论与实践的差距，管理时间限制。国际学生特别发现人工智能在文化适应和语言支持方面很有价值。一个重要的发现是人工智能使用的“公开秘密”，尽管机构不鼓励，学生仍积极使用工具，这突显了学生需求与机构实践之间的脱节。偏见、数据隐私和问责等道德问题也很突出。结论本研究对护理教育中人工智能集成的学生驱动需求提供了新的见解。它强调了机构响应能力、透明度和制定道德人工智能框架的必要性。通过承认学生代理和促进合作对话，护理教育可以有效地利用人工智能的好处，同时维护专业的核心价值观：同情心、同理心和以人为本的护理。

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Redefining pedagogy with artificial intelligence: How nursing students are shaping the future of learning

Aim

This study aimed to explore the factors influencing undergraduate nursing students' use of artificial intelligence (AI) tools in their studies, examining how this usage shapes their learning experiences and perceptions of traditional pedagogical approaches.

Background

The integration of AI into healthcare is rapidly transforming clinical practice, which in turn necessitates a corresponding shift in nursing education. While AI's potential benefits and challenges in education are widely discussed, limited research has focused on how nursing students specifically use these tools in their nursing studies and how this impacts their learning processes.

Design

A qualitative study employing exploratory and descriptive designs.

Methods

Participants were recruited from an undergraduate nursing program at a tertiary university. Thematic analysis was used to analyze interview data.

Results

Key findings revealed that nursing students use AI for personalized learning, bridging the theory-practice gap and managing time constraints. International students particularly found AI valuable for cultural adaptation and language support. A significant finding was the "open secret" of AI use, with students actively using tools despite institutional discouragement, highlighting a disconnect between student needs and institutional practices. Ethical concerns, such as bias, data privacy and accountability, were also prominent.

Conclusion

This study provides novel insights into the student-driven demand for AI integration in nursing education. It highlights the need for institutional responsiveness, transparency and the development of ethical AI frameworks. By acknowledging student agency and fostering collaborative dialogue, nursing education can leverage AI's benefits effectively while upholding the profession's core values: compassion, empathy and human-centered care.

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来源期刊

Nurse Education in Practice NURSING-

CiteScore

5.40

自引率

9.40%

发文量

180

审稿时长

51 days

期刊介绍： Nurse Education in Practice enables lecturers and practitioners to both share and disseminate evidence that demonstrates the actual practice of education as it is experienced in the realities of their respective work environments. It is supportive of new authors and will be at the forefront in publishing individual and collaborative papers that demonstrate the link between education and practice.