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    題名: Activity theory-based ecosystem for Artificial Intelligence in Education (AIED)
    作者: 莊俊儒
    Ching, Gregory S.;Uden, Lorna
    貢獻者: 教育學院
    關鍵詞: artificial intelligence in education;activity theory;learner and task relationship;ecosystem
    日期: 2024-05
    上傳時間: 2024-09-10 13:20:54 (UTC+8)
    摘要: The integration of Artificial Intelligence in Education (AIED) stands as a pivotal trend in education, yet comprehensive design frameworks remain a subject of ongoing exploration. While many AIED studies are still in their early stages of development and implementation, the uncertainties and challenges surrounding the ethical and responsible use of AI in education persist. Anchoring on the Activity Theory, this paper proposes a conceptual framework, aiming to construct a sustainable ecosystem for AIED design within the dynamic landscape in all levels of education. Within the constructs of Activity Theory, this framework endeavors to scrutinize the intricate relationship between individuals (learners), their learning activities, and the broader socio-cultural context wherein these activities unfold. Moreover, the paper advocates for collaborative agreements among educators, learners, and educational institutions as essential pillars in the design and implementation of AIED systems tailored for education. In essence, this conceptual paper serves as a theoretical proposition, utilizing Activity Theory as a lens to envisage an adaptive and ethically responsible AIED ecosystem specifically crafted to address the nuanced dynamics inherent in all levels of education. It urges designers to meticulously consider the interplay between learners, educators, technology, and the socio-cultural fabric when devising strategies for fostering effective, inclusive, and engaging learning experiences.
    關聯: International Journal of Research Studies in Education, Vol.13, No.5, pp.41-54
    資料類型: article
    DOI 連結: https://doi.org/10.5861/ijrse.2024.24000
    DOI: 10.5861/ijrse.2024.24000
    顯示於類別:[教育學院] 期刊論文

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