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The Role of AI Algorithms in Intelligent Learning Systems

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Artificial Intelligence in Education Technologies: New Development and Innovative Practices (AIET 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 190))

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Abstract

Artificial Intelligence (AI) has revolutionized various sectors, including education, where its application in Intelligent Learning Systems (ILS) is rapidly increasing. This systematic review employs the PRISMA methodology to evaluate the existing literature on the use of AI algorithms in ILS, focusing on their contribution to learning outcomes, and the support for personalized and adaptive learning experiences.

AI algorithms contribute to improving grading systems, tailoring personalized learning experiences, and predicting learners’ knowledge and skills. These foster personalized and adaptive learning experiences through content adaptation, learning analytics, and intelligent tutoring systems, thereby enhancing learning outcomes and student engagement.

The review also focuses on methodologies that are employed to assess the effectiveness of AI-driven ILS, including experimental designs, case studies, data mining, and simulations. Research gaps that can be explored in future research are also identified. The lack of standardized evaluation methods is a significant gap in the current literature. Other identified research gaps include a shortage of comparative and longitudinal studies, the under-researched area of specific learning contexts and AI’s ethical and privacy implications, and an imbalance between the study of learning outcomes and learner satisfaction.

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Author information

Authors and Affiliations

  1. UiT The Arctic University of Norway, Tromsø, Norway

    Simon Baradziej

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  1. Simon Baradziej
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Correspondence to Simon Baradziej .

Editor information

Editors and Affiliations

  1. IU International University of Applied Sciences, Erfurt, Germany

    Tim Schlippe

  2. The Education University of Hong Kong, Hong Kong S.A.R., China

    Eric C. K. Cheng

  3. Swinburne University of Technology, Melbourne, VIC, Australia

    Tianchong Wang

6 Figures

6 Figures

According to the data extraction results in the above Figure, 46 studies were discovered. The research characteristics and readership data of the analysed articles are fully detailed.

Fig. 1.
figure 1

Showing the PRISMA Diagram

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Baradziej, S. (2023). The Role of AI Algorithms in Intelligent Learning Systems. In: Schlippe, T., Cheng, E.C.K., Wang, T. (eds) Artificial Intelligence in Education Technologies: New Development and Innovative Practices. AIET 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-99-7947-9_14

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  • DOI: https://doi.org/10.1007/978-981-99-7947-9_14

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