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    Title: 生成式人工智慧在高等教育中的角色與挑戰:以永續發展目標課程為例
    Role and Challenges of Generative Artificial Intelligence in Higher Education: A Case Study of Sustainable Development Goals Curriculum
    Authors: 陳芙萱
    Contributors: 勞工所
    Keywords: 永續發展目標;生成式人工智能;教學內容客製化;跨學科學習
    Sustainable development goals;SDGs;Generative artificial intelligence;GAI;Customized teaching materials;Interdisciplinary learning
    Date: 2024-09
    Issue Date: 2025-02-05 16:14:48 (UTC+8)
    Abstract: 有鑑於生成式人工智慧(Generative Artificial Intelligence, GAI)在高等教育中的影響力不可忽視,本文乃探討GAI在大學永續發展目標(Sustainable Development Goals,SDGs)課程方面的創新應用與實踐。首先,本研究闡述GAI的基本原理和潛在可能性,並深入分析實施SDGs課程時所面臨的挑戰。接著,本文探討了運用GAI的文生成圖技術來客製化教學內容、促進學生互動學習的可行性,並分享了一個課程模板案例,展示了GAI在大學SDGs課程中具體的應用成效。這種教學方法有助於提升學生對複雜問題的理解,進而提高教學品質。同時,本文探討了在應用這項技術時可能遇到的倫理、技術和資源等方面的挑戰。最後,本研究提出了隨著技術的發展,GAI在高等教育和SDGs課程中可能出現的新應用,並強調持續研究和創新的重要性。
    Generative Artificial Intelligence (GAI) has an undeniable impact on higher education. This article aims to explore its innovative applications and practices in the context of Sustainable Development Goals (SDGs) courses at universities. Firstly, we elucidate the basic principles and potential of GAI, and conduct an in-depth analysis of the challenges faced in implementing SDGs courses. Furthermore, this article examines the feasibility of utilizing GAI’s text generation techniques to customize teaching materials and facilitate interactive learning among students. A case study of a course template is shared to demonstrate the concrete application and effectiveness of GAI in university SDGs courses. Such a teaching methodology helps enhance students’ understanding of complex problems and improves the quality of instruction. Simultaneously, we discuss the ethical, technical, and resource related challenges that may arise when applying this technology. Lastly, we propose new possible applications of GAI in higher education and SDGs courses as technology advances, emphasizing the importance of continuous research and innovation.
    Relation: 教育研究月刊, No.365, pp.18-33
    Data Type: article
    DOI 連結: https://doi.org/10.53106/168063602024090365002
    DOI: 10.53106/168063602024090365002
    Appears in Collections:[勞工研究所] 期刊論文

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