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Towards a Tripartite Research Agenda: A Scoping Review of Artificial Intelligence in Education Research

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Artificial Intelligence in Education: Emerging Technologies, Models and Applications (AIET 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 104))

Abstract

This paper reports on a scoping review of research studies on artificial intelligence in education (AIED) published over the last two decades (2001–2021). A wide range of manuscripts were yielded from the education and educational research category of the Social Sciences Citation Index (SSCI) database, and papers from an AIED-specialised journal were also included. 135 of those meeting the selection criteria were analysed with content analysis and categorical meta-trends analysis. Three distinctive and superordinate AIED research agenda were identified: Learning from AI, Learning about AI, and Learning with AI. By portraying the current status of AIED research and depicting its tripartite research agenda, gaps and possible directions were discussed. This paper serves as a blueprint for AIED researchers to position their up-and-coming AIED studies for the next decade.

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  1. Department of Curriculum and Instruction, The Education University of Hong Kong, Tai Po, N.T., Hong Kong S.A.R., China

    Tianchong Wang & Eric C. K. Cheng

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  1. Tianchong Wang
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  2. Eric C. K. Cheng
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  1. Department of Curriculum and Instruction, Education University of Hong Kong, Hong Kong, China

    Eric C. K. Cheng

  2. School of Education, Curtin University, Perth, WA, Australia

    Rekha B. Koul

  3. Department of Curriculum and Instruction, Education University of Hong Kong, Hong Kong, Hong Kong

    Tianchong Wang

  4. CCNU-UOW Joint Institute, Central China Normal University, Wuhan, Hubei, China

    Xinguo Yu

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Wang, T., Cheng, E.C.K. (2022). Towards a Tripartite Research Agenda: A Scoping Review of Artificial Intelligence in Education Research. In: Cheng, E.C.K., Koul, R.B., Wang, T., Yu, X. (eds) Artificial Intelligence in Education: Emerging Technologies, Models and Applications. AIET 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 104. Springer, Singapore. https://doi.org/10.1007/978-981-16-7527-0_1

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