人工智能賦能的中文跨學科教學:聲音、畫面與情意的整合實踐
Keywords:
人工智能、情意教學、跨學科學習、認知負荷理論、敘事學習, Artificial Intelligence; Affective Teaching; Interdisciplinary Learning; Cognitive Load Theory; Narrative LearningAbstract
With the widespread adoption of AI, education is exploring innovative teaching models integrating multisensory experiences. This study centers on the Chinese text “Dad’s Flowers Have Fallen” and designs an interdisciplinary program combining sound, imagery, and affective expression. The course guides students to use AI drawing tools to recreate textual scenes, write mourning letters to express emotions, and convert text into music. Finally, a dramatic funeral context simulation synthesizes outcomes. The research shows AI reduces technical barriers in artistic creation, allowing concentration on emotional expression and deeper textual meaning. Incorporating Cognitive Load Theory, Multiple Intelligences, and Social Constructivism, this model fosters interdisciplinary collaboration, affective cognition, and creative growth, providing a fresh approach to Chinese pedagogy.Downloads
Published
2025-06-06
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