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Controversial Issues Faced by Intelligent Tutoring System in Develo** Constructivist-Learning-Based Curriculum

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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))

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Abstract

This article aims at exploring the identified benefits and challenges when integrating Educational Artificial Intelligence (AIEd) into contemporary Constructive-Learning-Based Curriculum design. It is argued that the Intelligent Tutoring System, which lies at the centre of AIEd, could help enhancing learners’ constructive learning experience by providing personalised and engaging learning environment, and it could promoting learners’ twenty-first century skills during the learning process. However, biased data in the Intelligent Tutoring System may also give rise to learning recommendation bias and inequality. Also, the algorithms in Intelligent Tutoring System is uncapable of capturing unquantifiable learning information, and put its emphasize mainly on the quantifiable educational recommendations, that will deteriorate the construction of the Constructivist-Learning-Based Curriculum.

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Author information

Authors and Affiliations

  1. Nanfang College Guangzhou, Guangzhou, China

    Yue Wang

Authors
  1. Yue Wang
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Corresponding author

Correspondence to Yue Wang .

Editor information

Editors and Affiliations

  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

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Wang, Y. (2022). Controversial Issues Faced by Intelligent Tutoring System in Develo** Constructivist-Learning-Based Curriculum. 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_22

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  • DOI: https://doi.org/10.1007/978-981-16-7527-0_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7526-3

  • Online ISBN: 978-981-16-7527-0

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