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Artificial Intelligence and New Technologies in Inclusive Education for Minority Students: A Systematic Review

Author

Listed:
  • 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)

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.

Suggested Citation

  • Sdenka Zobeida Salas-Pilco & Kejiang Xiao & Jun Oshima, 2022. "Artificial Intelligence and New Technologies in Inclusive Education for Minority Students: A Systematic Review," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13572-:d:948261
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    Cited by:

    1. Zehui Zhan & Shijing Niu, 2023. "Subject integration and theme evolution of STEM education in K-12 and higher education research," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    2. Ying Yang & Jinruo Qin & Jing Lei & Yanping Liu, 2023. "Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

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