This exploratory study presents "AI for Universal Design for Learning (UDL)" as a core principle in defining the role of artificial intelligence in education. It argues that generative AI should be regarded as a stepping stone and an opportunity to enact a completely different vision of education rather than merely a means to achieve existing standardized educational goals. To this end, the study (1) critiques the AI-related discussions centered on productivity, efficiency, and economic utility, which reinforce the normativity regime shaped by sociotechnical acceleration; (2) examines how AI can support and enhance the guidelines of UDL in literacy education; and (3) delineates the role and limitations of "AI for UDL" and discusses the accompanying principles of "mutual embodiment for learning (MEL)" and "critical meta-literacy" as necessary for effecting transformative change. Through this line of work, the study aims to establish a conceptual framework for pursuing changes in educational practices in light of the rise of generative AI and seek to broaden the horizons of critical, creative, and relational literacy education.
No takes yet. Share an insight, caveat, or question.
Sungwoo KIM (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: