Sensing the Algorithm: A Multisensory Dialogic Pedagogy for AI-Integrated Art Education

• In Event: AERA Roundtable Session Saturday 9:45 am - Gold 1
  In Roundtable Session: Educating Futures: Culture, Code, and Creativity in Transformative Pedagogies

Abstract

This study introduces Sensory–Algorithmic Dialogic Learning (SADL), a pedagogical framework that prepares teachers to navigate AI-integrated classrooms through embodied, multimodal, and critically reflective practice. Grounded in fieldwork from a Taiwanese heritage district and a Chinese ceramic community, SADL combines multisensory ethnography with algorithmic engagement to address the epistemic limits of data-driven education. It positions teachers as co-designers of hybrid learning through four principles: Situated Multisensory Inquiry, Dialogic Use of AI, Reflective Disruption, and Nonlinear Knowledge Paths. SADL contributes to teacher education by expanding conceptions of knowledge, centering affect and place, and resisting epistemic compression. It offers a scalable, relational model for preparing educators to teach critically and inclusively in increasingly technologized learning environments.

Authors

• Jiayi Guo, University of Georgia

• Hsin Fang, Florida State University