Artificial Intelligence and New Technologies in Inclusive Education for Minority Students: A Systematic Review
Sdenka Zobeida Salas-Pilco,
Kejiang Xiao () and
Jun Oshima
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Sdenka Zobeida Salas-Pilco: Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China
Kejiang Xiao: Hubei Research Center for Educational Informatization, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China
Jun Oshima: Faculty of Informatics, Shizuoka University, Shizuoka-shi 422-8529, Japan
Sustainability, 2022, vol. 14, issue 20, 1-17
Abstract:
Artificial intelligence (AI) and new technologies are having a pervasive impact on modern societies and communities. Given the potential of these new technologies to transform the way things are done, it is important to understand how they can be used to support inclusive education, particularly regarding minority students. This systematic review analyzes the advantages and challenges of using AI and new technologies in different sociocultural contexts, and their impact on minority students. In terms of advantages, this review found that AI and new technologies (a) improved student performance, (b) encouraged student interest in STEM/STEAM, (c) promoted student engagement, and (d) showed other advantages. This review also identifies the main challenges associated with the use of AI and new technologies for inclusive education: (a) technological challenges, (b) pedagogical challenges, (c) dataset limitations, (d) low satisfaction using technology, and (e) cultural differences. This review proposes some solutions to these challenges at the pedagogical, technological, and sociocultural levels, and also explores important aspects of inclusive education that address the students’ sociocultural diversity. The findings and implications will aid teachers, practitioners, and policymakers in making decisions on the effective use of AI and new technologies to support sociocultural inclusiveness in education.
Keywords: artificial intelligence; new technologies; inclusive education; diversity; minority student; systematic review (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:20:p:13572-:d:948261
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