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The Impact of Artificial Intelligence on Learning, Teaching, and Education

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  • Ilkka Tuomi

    (Oy Meaning Processing Ltd)

Abstract

This report describes the current state of the art in artificial intelligence (AI) and its potential impact for learning, teaching, and education. It provides conceptual foundations for well-informed policy-oriented work, research, and forward-looking activities that address the opportunities and challenges created by recent developments in AI. The report is aimed for policy developers, but it also makes contributions that are of interest for AI technology developers and researchers studying the impact of AI on economy, society, and the future of education and learning.

Suggested Citation

  • Ilkka Tuomi, 2018. "The Impact of Artificial Intelligence on Learning, Teaching, and Education," JRC Research Reports JRC113226, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc113226
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC113226
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    References listed on IDEAS

    as
    1. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    2. Daron Acemoglu & Pascual Restrepo, 2016. "The Race Between Machine and Man: Implications of Technology for Growth, Factor Shares and Employment," NBER Working Papers 22252, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Share Aiyed M Aldosari, 2020. "The Future of Higher Education in the Light of Artificial Intelligence Transformations," International Journal of Higher Education, Sciedu Press, vol. 9(3), pages 145-145, June.
    2. Nazera Emara & Nagla Ali & Othman Abu Khurma, 2023. "Adaptive Learning Framework (Alef) in UAE Public Schools from the Parents’ Perspective," Social Sciences, MDPI, vol. 12(5), pages 1-14, May.
    3. Ali, Omar & Murray, Peter A. & Momin, Mujtaba & Dwivedi, Yogesh K. & Malik, Tegwen, 2024. "The effects of artificial intelligence applications in educational settings: Challenges and strategies," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    4. Jonatha Sousa Pimentel & Raydonal Ospina & Anderson Ara, 2021. "Learning Time Acceleration in Support Vector Regression: A Case Study in Educational Data Mining," Stats, MDPI, vol. 4(3), pages 1-19, August.
    5. Joyce de Souza Zanirato Maia & Ana Paula Arantes Bueno & Joao Ricardo Sato, 2023. "Applications of Artificial Intelligence Models in Educational Analytics and Decision Making: A Systematic Review," World, MDPI, vol. 4(2), pages 1-26, May.
    6. Kai Wang & Guo-Yuan Sang & Lan-Zi Huang & Shi-Hua Li & Jian-Wen Guo, 2023. "The Effectiveness of Educational Robots in Improving Learning Outcomes: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-16, March.

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    More about this item

    Keywords

    Artificial Intelligence; Education; Learning; Teaching; Foresight;
    All these keywords.

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