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Bibliometric Literature Review of Adaptive Learning Systems

Author

Listed:
  • Dionisios Koutsantonis

    (Research and Development Department, RDC Informatics, 10442 Athens, Greece)

  • Konstantinos Koutsantonis

    (Research and Development Department, RDC Informatics, 10442 Athens, Greece)

  • Nikolaos P. Bakas

    (Research and Development Department, RDC Informatics, 10442 Athens, Greece)

  • Vagelis Plevris

    (Department of Civil and Architectural Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Andreas Langousis

    (Department of Civil Engineering, University of Patras, 26504 Patras, Greece)

  • Savvas A. Chatzichristofis

    (Intelligent Systems Laboratory, Department of Computer Science, Neapolis University Pafos, Pafos 8042, Cyprus)

Abstract

In this review paper, we computationally analyze a vast volume of published articles in the field of Adaptive Learning, as obtained by the Scopus Database. Particularly, we use a query with search terms targeting the area of Adaptive Learning Systems by utilizing a combination of specific keywords. Accordingly, we apply a multidimensional scaling algorithm to construct bibliometric maps for keywords, authors, and references. Subsequently, we present the computational results for the studied dataset, reveal significant patterns appearing in the field of adaptive learning and the inter-item associations, and interpret the findings based on the current state-of-the-art literature in the area. Furthermore, we demonstrate the time-series of the evolution of the research terms, their trends over time, as well as their prevalent statistical associations.

Suggested Citation

  • Dionisios Koutsantonis & Konstantinos Koutsantonis & Nikolaos P. Bakas & Vagelis Plevris & Andreas Langousis & Savvas A. Chatzichristofis, 2022. "Bibliometric Literature Review of Adaptive Learning Systems," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12684-:d:934333
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    References listed on IDEAS

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    1. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    2. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    3. Nazir Ullah & Waleed Mugahed Al-Rahmi & Ahmed Ibrahim Alzahrani & Osama Alfarraj & Fahad Mohammed Alblehai, 2021. "Blockchain Technology Adoption in Smart Learning Environments," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    4. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. I," Psychometrika, Springer;The Psychometric Society, vol. 27(2), pages 125-140, June.
    5. van Eck, N.J.P. & Waltman, L., 2009. "VOSviewer: A Computer Program for Bibliometric Mapping," ERIM Report Series Research in Management ERS-2009-005-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Dorin Vicentiu Popescu & Adriana Dima & Elena Radu & Ecaterina Milica Dobrota & Victor Marian Dumitrache, 2022. "Bibliometric Analysis of the Green Deal Policies in the Food Chain," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(60), pages 410-410, April.
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