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銜接AI新世代—談人工智慧素養之培育

Excelling in the AI Era: Cultivating AI Literacy

摘要


面對全球積極推動AI(artificial intelligence)的浪潮,未來護理專業勢必將會與AI的運用有緊密結合。為因應此改變,護理教育須積極培育學生具備人工智慧素養,方能與跨領域專業人員溝通合作,進而與時代接軌。在護理學生養成過程中,護理教師須了解人工智慧素養的內涵,也需思考如何將人工智慧素養融入課程設計中,定期檢視護理學生在人工智慧素養的成效,以培育能與時代接軌的護理師。因此本文旨在說明人工智慧素養的內涵、如何培育學生具備人工智慧素養,同時提供人工智慧素養的評量方式,期許未來能訓練護理學生成為明日的護理師(tomorrow nurses),與未來的照護接軌。

並列摘要


In light of the rapid advancements in artificial intelligence (AI), the future of the nursing profession is expected to be closely intertwined with AI applications. In response to this challenge, nursing educators must cultivate AI literacy in students to ensure their ability to communicate and collaborate effectively with their interdisciplinary peers. Nursing educators should comprehend the essence of AI literacy, integrate AI literacy into their curriculum designs, and regularly assess the effectiveness of AI literacy cultivation efforts among their students to ensure nursing graduates are able to effectively fulfill their roles in nursing and healthcare. The purpose of this paper is to explain the essence of AI literacy, approaches for cultivating AI literacy in students, and methods for assessing AI literacy with the aim of educating nursing students to become competent nurses for tomorrow.

參考文獻


王文君(2020).人工智慧素養問卷開發與驗證〔碩士論文,中原大學〕.華藝線上圖書館。[Wang, W.-C. (2020). Development and validation of an instrument for AI-literacy [Master’s thesis, Chung Yuan Christian University]. Airiti Library.] https://doi.org/10.6840/cycu202000084
黃筑榆、杜清敏、鄭夙芬(2021).護理教育省思—人工智慧時代護理專業之準備與因應.護理雜誌,68(6),25–31。[Huang, C.-Y., Duh, C.-M., & Cheng, S.-F. (2021). A reflection on nursing education: Assuring the readiness of the nursing profession for the age of artificial intelligence. The Journal of Nursing, 68(6), 25–31.] https://doi.org/10.6224/JN.202112_68(6).05
Burgsteiner, H., Kandlhofer, M., & Steinbauer, G. (2016). Irobot: Teaching the basics of artificial intelligence in high schools. Proceeding of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i19864
Carolus, A., Augustin, Y., Markus, A., & Wienrich, C. (2023). Digital interaction literacy model – Conceptualizing competencies for literate interactions with voice-based AI systems. Computers and Education: Artificial Intelligence, 4, Article 100114. https://doi.org/10.1016/j.caeai.2022.100114
Carolus, A., Koch, M. J., Straka, S., Latoschik, M. E., & Wienrich, C. (2023). MAILS - Meta AI literacy scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change- and meta-competencies. Computers in Human Behavior: Artificial Humans, 1(2), Article 100014. https://doi.org/10.1016/j.chbah.2023.100014

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