护理教育工作者对人工智能融入学术环境的看法。

IF 2 Q2 NURSING
SAGE Open Nursing Pub Date : 2025-05-16 eCollection Date: 2025-01-01 DOI:10.1177/23779608251342931
Moustaq Karim Khan Rony, Sumon Ahmad, Sabren Mukta Tanha, Dipak Chandra Das, Mosammat Ruma Akter, Mst Amena Khatun, Most Hasina Begum, Md Ibrahim Khalil, Umme Rabeya Peu, Mst Rina Parvin, Daifallah M Alrazeeni, Fazila Akter
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引用次数: 0

摘要

背景:人工智能(AI)与教育的融合有可能彻底改变教学实践,特别是在理论与实践相结合的护理教育中。然而,诸如基础设施限制、道德考虑和教育工作者缺乏准备等挑战阻碍了在技术有限、资金不足和教育工作者培训机会不足的环境中广泛采用。目的:本研究探讨护理教育工作者对将人工智能融入学术环境的看法。方法:采用技术教学内容知识框架,采用现象学方法对护理教育者的生活经历进行定性研究。数据通过14次半结构化访谈和3次焦点小组讨论收集,参与者为来自孟加拉国三所护理学院的16名参与者。进行了专题分析,以确定关键见解和趋势。结果:护理教育工作者认识到人工智能工具(如自适应学习平台、虚拟模拟和预测分析)在提高教学效率、个性化学习和吸引学生方面的潜力。然而,培训不足、基础设施挑战以及与数据隐私、算法偏见和人工智能驱动的决策相关的道德问题等障碍也得到了强调。主题分析揭示了五个主要主题:(1)人工智能的感知利益,(2)人工智能集成的障碍,(3)人工智能使用中的伦理考虑,(4)教育工作者的准备和适应,以及(5)人工智能作为个性化学习的工具。许多教育工作者表示,需要专业发展和制度支持,以有效整合人工智能技术。克服这些挑战的战略包括有针对性的培训计划、道德准则和解决资源分配方面的差异。结论:人工智能对护理教育具有变革性潜力,为加强教与学提供了机会。然而,有效的整合需要解决教育工作者的准备、道德挑战和资源限制。这些发现强调了为护理教育工作者提供必要能力的重要性,使未来的护士为人工智能增强的临床环境做好准备,从而将教育与不断发展的医疗实践联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nursing Educators' Perspectives on the Integration of Artificial Intelligence Into Academic Settings.

Background: The integration of artificial intelligence (AI) into education has the potential to revolutionize teaching and learning practices, especially in nursing education, which combines theoretical and practical knowledge. However, challenges such as infrastructural limitations, ethical considerations, and a lack of educator preparedness hinder its widespread adoption in settings with limited access to technology, insufficient funding, and inadequate training opportunities for educators.

Aims: This study explores nursing educators' perspectives on integrating AI into academic settings.

Methods: Using the Technological Pedagogical Content Knowledge framework, this qualitative study employed a phenomenological approach to understand nursing educators' lived experiences. Data were collected through 14 semistructured interviews and three focus group discussions with 16 participants from three nursing colleges in Bangladesh. Thematic analysis was conducted to identify key insights and trends.

Results: Nursing educators recognized the potential of AI tools, such as adaptive learning platforms, virtual simulations, and predictive analytics, to enhance teaching efficiency, personalize learning, and engage students. However, barriers such as insufficient training, infrastructural challenges, and ethical concerns related to data privacy, algorithmic bias, and AI-driven decision making were highlighted. Thematic analysis revealed five major themes: (1) perceived benefits of AI, (2) barriers to AI integration, (3) ethical considerations in AI use, (4) educator readiness and adaptation, and (5) AI as a tool for personalized learning. Many educators expressed a need for professional development and institutional support to effectively integrate AI technologies. Strategies for overcoming these challenges included targeted training programs, ethical guidelines, and addressing disparities in resource distribution.

Conclusions: AI holds transformative potential for nursing education, offering opportunities to enhance teaching and learning. However, its effective integration requires addressing educators' readiness, ethical challenges, and resource limitations. These findings underscore the importance of equipping nursing educators with the necessary competencies to prepare future nurses for AI-enhanced clinical environments, thereby bridging education with evolving healthcare practice.

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CiteScore
2.10
自引率
5.00%
发文量
106
审稿时长
15 weeks
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