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Critical and Equity-Focused Perspectives on AI in Education
Sun, April 12, 9:45 to 11:15am PDT (9:45 to 11:15am PDT), JW Marriott Los Angeles L.A. LIVE, Floor: 2nd Floor, Platinum BSession Type: Paper Session
Abstract
This session explores the essential need for developing critical approaches to AI in education. The papers address how to foster an understanding of equity, social justice, and human-centered principles among educators to ensure responsible and beneficial AI implementation in education.
Sub Unit
Chair
Papers
Equity and AI in the K-12 Curriculum: How Preservice Teachers Develop Critical Understandings - Lauren Weisberg, University of Texas - Arlington; Christine Wusylko, Kennesaw State University; Kara M. Dawson, University of Florida
Critical AI in Education Pathways: Towards a Human Centered AI for Teacher Educators - Evrim Baran, Iowa State University; Melis Dilek, Iowa State University; Melika Ziba, Iowa State University
Toward Equitable and Socially Just Artificial Intelligence in Education: A Scoping Review and Bibliometric Analysis - Yao Fu, University of Wisconsin - Whitewater; Zhenjie Weng, Duke Kunshan University; Jiaxi Wang, University of Wisconsin-Stevens Point