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Master Thesis

Systematic literature review (SLR) of research on adaptive/personalized learning and artificial intelligence in learning

Abstract : This study aims to explore adaptive/personalized learning and artificial intelligence in learning geared towards students’ achievement or outcome of related articles. It begins with some definitions of the concepts. A systematic literature review was conducted and identified 68 articles from two decade, i.e., 2000-2020. It also presents the research methodologies/approaches used during the studyand investigates similarities between adaptive learning and personalized learning, learning outcomes, artificial intelligence techniques and contribution of artificial intelligence and other technologies in assessing adaptive/personalized learning. In addition, adaptive/personalized learning have the same element i.e. individual differences, individual performance and artificial intelligence techniques such as artificial neural network, fuzzy logic, decision trees, etc., are enablers to deliver adaptive instructions, guidance and evaluate learners and role of AI in learning. The conclusions reflect on discussions, limitations, etc., and the study recommended the development AI in learning on higher order thinking and wearable devices evaluation in personalized learning.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-03151973
Contributor : Grenoble Iae Connect in order to contact the contributor
Submitted on : Thursday, February 25, 2021 - 10:55:50 AM
Last modification on : Tuesday, March 16, 2021 - 3:30:10 AM
Long-term archiving on: : Wednesday, May 26, 2021 - 6:24:01 PM

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Vikhram Kofi DUFFOUR Master Th...
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  • HAL Id : dumas-03151973, version 1

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Vikhram Kofi Duffour. Systematic literature review (SLR) of research on adaptive/personalized learning and artificial intelligence in learning. Business administration. 2020. ⟨dumas-03151973⟩

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