Equity, Inclusion, and Justice Through Artificial Intelligence in Education: A Critical Review

• In Event: AERA Roundtable Session Wednesday 4:20 pm Four Seasons Ballroom 2-3
  In Roundtable Session: Technology-Driven Transformations in Teaching and Learning: Equity, Inclusion, and Identity (Table 5)

Abstract

This paper provides a critical and systematic review of the prevailing narratives of artificial intelligence (AI) tools regarding equity, inclusion, and justice in education. It critiques both the overly optimistic view that technology is a universal solution for educational challenges (the “techno-fix” allure) and the deficit-focused perspectives inherent in the digital divide and technology acceptance models. Further, it addresses how inequalities and biases might be perpetuated by the uncritical adoption of AI tools. Finally, through synthesizing the literature, this paper proposes an asset-based framework for investigating and employing AI tools that truly fosters education justice and empowerment.

Authors

• Ran Liu, University of Wisconsin - Madison

• Carla Z. Glave, University of Wisconsin - Madison