‘If you can’t dance your program, you can’t write it’: Challenges and Implications for AI in EducationGlobal
This article offers a critical analysis of the role of the body in the development of artificial intelligence (AI) in the field of education. It challenges the dominance of symbolic and disembodied AI models based on abstract information processing and advocates for a paradigm shift toward embodied AI grounded in situationality, emergence, and sensorimotor coupling. Drawing on post-cognitivist frameworks, the article highlights the cognitive and experiential limitations of current GenAI systems, such as the loss of proprioception, multimodal agency, and the devaluation of embodied practices. It proposes a redefinition of Human–Computer Interaction (HCI) centered on a perceptual–affective choreography. The article advances a more inclusive and emancipatory vision of AI in education, aimed at fostering creative, critical, and situated learning through a set of embodied design principles.
Thu 19 FebDisplayed time zone: Central Time (US & Canada) change
10:40 - 12:00 | |||
10:40 26mTalk | ‘If you can’t dance your program, you can’t write it’: Challenges and Implications for AI in EducationGlobal Journal First Ronnie Videla Universidad Santo Tomás, Chile, Simon Penny University of California, Irvine, Wendy Ross London Metropolitan University DOI | ||
11:06 26mTalk | Design Principles for Authentically Embedding Computer Science in Sports Journal First Herminio Bodon Northwestern University, Vishesh Kumar Vanderbilt University, Marcelo Worsley Northwestern University DOI | ||
11:33 26mTalk | Development and Analysis of Pre-service Teachers’ Self-efficacy in Integrating Computer Science Survey Instrument Using Confirmatory Factor AnalysisK12 Journal First Eric Bredder University of Virginia, Sarah Lilly University of Virginia, Jennifer Chiu University of Virgina DOI | ||