IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12684-d934333.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12684/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/19/12684/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Adriana Dima & Alexandru-Mihai Bugheanu & Ruxandra Dinulescu & Ana-Madalina Potcovaru & Constanta Alice Stefanescu & Irinel Marin, 2022. "Exploring the Research Regarding Frugal Innovation and Business Sustainability through Bibliometric Analysis," Sustainability, MDPI, vol. 14(3), pages 1-36, January.
    3. Zsolt Ugray & Leon Lasdon & John Plummer & Fred Glover & James Kelly & Rafael Martí, 2007. "Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization," INFORMS Journal on Computing, INFORMS, vol. 19(3), pages 328-340, August.
    4. Roger Shepard, 1962. "The analysis of proximities: Multidimensional scaling with an unknown distance function. II," Psychometrika, Springer;The Psychometric Society, vol. 27(3), pages 219-246, September.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wadim Strielkowski & Veronika Grebennikova & Alexander Lisovskiy & Guzalbegim Rakhimova & Tatiana Vasileva, 2025. "AI‐driven adaptive learning for sustainable educational transformation," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(2), pages 1921-1947, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roger Shepard, 1974. "Representation of structure in similarity data: Problems and prospects," Psychometrika, Springer;The Psychometric Society, vol. 39(4), pages 373-421, December.
    2. Morales José F. & Song Tingting & Auerbach Arleen D. & Wittkowski Knut M., 2008. "Phenotyping Genetic Diseases Using an Extension of µ-Scores for Multivariate Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-20, June.
    3. Roger Girard & Norman Cliff, 1976. "A monte carlo evaluation of interactive multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 41(1), pages 43-64, March.
    4. J. Ramsay, 1969. "Some statistical considerations in multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 34(2), pages 167-182, June.
    5. Massimiliano Agovino & Maria Ferrara & Antonio Garofalo, 2017. "The driving factors of separate waste collection in Italy: a multidimensional analysis at provincial level," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2297-2316, December.
    6. Jerzy Grobelny & Rafal Michalski & Gerhard-Wilhelm Weber, 2021. "Modeling human thinking about similarities by neuromatrices in the perspective of fuzzy logic," WORking papers in Management Science (WORMS) WORMS/21/09, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    7. Bijmolt, T.H.A. & Wedel, M., 1996. "A Monte Carlo Evaluation of Maximum Likelihood Multidimensional Scaling Methods," Research Memorandum 725, Tilburg University, School of Economics and Management.
    8. Pepermans, Roland & Verleye, Gino, 1998. "A unified Europe? How euro-attitudes relate to psychological differences between countries," Journal of Economic Psychology, Elsevier, vol. 19(6), pages 681-699, December.
    9. Phipps Arabie, 1991. "Was euclid an unnecessarily sophisticated psychologist?," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 567-587, December.
    10. Verniest, Fabien & Greulich, Sabine, 2019. "Methods for assessing the effects of environmental parameters on biological communities in long-term ecological studies - A literature review," Ecological Modelling, Elsevier, vol. 414(C).
    11. Sen Li & Yingying Shi & Lingling Wang & Enjun Xia, 2023. "A Bibliometric Analysis of Brand Orientation Strategy in Digital Marketing: Determinants, Research Perspectives and Evolutions," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    12. Charles Sherman, 1972. "Nonmetric multidimensional scaling: A monte carlo study of the basic parameters," Psychometrika, Springer;The Psychometric Society, vol. 37(3), pages 323-355, September.
    13. Duncan Fong & Wayne DeSarbo & Zhe Chen & Zhuying Xu, 2015. "A Bayesian Vector Multidimensional Scaling Procedure Incorporating Dimension Reparameterization with Variable Selection," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 1043-1065, December.
    14. Bert Green, 1966. "The computer revolution in psychometrics," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 437-445, December.
    15. H. Micko, 1970. "A “halo”-model for multidimensional ratio scaling," Psychometrika, Springer;The Psychometric Society, vol. 35(2), pages 199-227, June.
    16. J. Carroll, 1985. "Review," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 133-140, March.
    17. Kenneth Mullen & Daniel Ennis, 1987. "Mathematical formulation of multivariate euclidean models for discrimination methods," Psychometrika, Springer;The Psychometric Society, vol. 52(2), pages 235-249, June.
    18. José A. Tenreiro Machado & Alexandra Galhano & Daniel Cao Labora, 2021. "A Clustering Perspective of the Collatz Conjecture," Mathematics, MDPI, vol. 9(4), pages 1-14, February.
    19. Aurea Grané & Rosario Romera, 2018. "On Visualizing Mixed-Type Data," Sociological Methods & Research, , vol. 47(2), pages 207-239, March.
    20. Jager, Wander, 2007. "The four P's in social simulation, a perspective on how marketing could benefit from the use of social simulation," Journal of Business Research, Elsevier, vol. 60(8), pages 868-875, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12684-:d:934333. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.