Artificial Intelligence for Educational Inclusion and Equity

International Studies and Critiques
This timely book evaluates how artificial intelligence can advance educational inclusion, and equity, addressing its best practices and critiques in P-20 education across the Global North and South. Chapters provide crucial insights into the planning, development, and implementation of AI within educational courses, programs and institutions.
This timely book evaluates how artificial intelligence can advance educational inclusion and equity, addressing its best practices and critiques in P-20 education across the Global North and South. Chapters provide crucial insights into the planning, development, and implementation of AI within educational courses, programs, and institutions.

Drawing on unique practical frameworks, contributors demonstrate how educators can integrate AI technologies into instructional leadership to enhance creativity, critical thinking, and analysis. They explore how this emerging technology can be used ethically by students to aid learning and close academic achievement gaps. Presenting crucial policy recommendations based on scholarly studies and real-world case analyses, the book highlights strategies for ensuring AI technologies and detectors are implemented fairly, with particular focus on the needs of students from historically marginalized communities.

Artificial Intelligence for Educational Inclusion and Equity is a valuable resource for scholars, students, and educators interested in the equitable use of AI technologies. It is also beneficial for practitioners and policymakers looking to understand evidence-based practices and effective pedagogical applications.

Contributor: Emmanuel Jean-Francois (Edited by), Michael M. van Wyk (Edited by)

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