Adaptive learning concept selection: a bibliometric review of scholarly literature from 2011 to 2019

Authors

DOI:

https://doi.org/10.31812/ed.643

Keywords:

adaptive learning, bibliometric review, VOSviewer

Abstract

The article describes the bibliometric analysis of scientific literature on adaptive learning in social sciences. With the selected documents, a cluster analysis was carried out according to the co-occurrence of keywords. As a result, the keywords were divided into five clusters, including ones associated with computer-aided instruction, engineering education, basic didactic principles, and individualized learning. The most interrelated keywords, primary keywords, and the chronological limits of the research were also determined from 2011 to 2019.

Downloads

Download data is not yet available.
Abstract views: 137 / PDF (Ukrainian) views: 51

References

Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions (2020), URL https://tinyurl.com/yc7v78a6

Digital Education Action Plan (2021–2027) (2020), URL https://education.ec.europa.eu/focus-topics/digital-education/digital-education-action-plan

Burov, O., Butnik-Siversky, O., Orliuk, O., Horska, K.: Cybersecurity and innovative digital educational environment. Information Technologies and Learning Tools 80(6), 414–430 (Dec 2020), https://doi.org/10.33407/itlt.v80i6.4159 DOI: https://doi.org/10.33407/itlt.v80i6.4159

Cabinet of Ministers of Ukraine: Stratehiia rozvytku vyshchoi osvity v Ukraini na 2022-2032 roky [On approval of the Strategy of higher education development in Ukraine for 2022–2032] (2022), URL https://zakon.rada.gov.ua/laws/show/286-2022-%D1%80#Text

Centre for Science and Technology Studies, Leiden University, The Netherlands: VOSviewer - Visualizing scientific landscapes (2022), URL https://www.vosviewer.com/

Demianenko, V.M.: The model for adaptive learning systems of open education information environment. Information Technologies and Learning Tools 77(3), 27–38 (Jun 2020), https://doi.org/10.33407/itlt.v77i3.3603 DOI: https://doi.org/10.33407/itlt.v77i3.3603

Fadieieva, L.O.: Bibliometric Analysis of Adaptive Learning Literature from 2011-2019: Identifying Primary Concepts and Keyword Clusters. In: Antoniou, G., Ermolayev, V., Kobets, V., Liubchenko, V., Mayr, H.C., Spivakovsky, A., Yakovyna, V., Zholtkevych, G. (eds.) Information and Communication Technologies in Education, Research, and Industrial Applications, pp. 215–226, Springer Nature Switzerland, Cham (2023), ISBN 978-3-031-48325-7, https://doi.org/10.1007/978-3-031-48325-7_16 DOI: https://doi.org/10.1007/978-3-031-48325-7_16

Haranin, O.M., Moiseienko, N.V.: Adaptive artificial intelligence in RPG- game on the Unity game engine. CEUR Workshop Proceedings 2292, 143–150 (2018), URL https://ceur-ws.org/Vol-2292/paper16.pdf DOI: https://doi.org/10.31812/123456789/2891

Kovalchuk, V.I., Maslich, S.V., Movchan, L.H.: Digitalization of vocational education under crisis conditions. Educational Technology Quarterly 2023(1), 1–17 (Jan 2023), https://doi.org/10.55056/etq.49 DOI: https://doi.org/10.55056/etq.49

Lovianova, I., Krasnoschok, A., Kaluhin, R., Kozhukhar, O., Dmytriyev, D.: Methodical preparation as a means of developing prospective mathematics teachers’ ICT competency. Educational Technology Quarterly 2021(2), 331–346 (May 2021), https://doi.org/10.55056/etq.14 DOI: https://doi.org/10.55056/etq.14

Melnyk, O.M., Lytvynova, S.H., Zaiets, S.V.: Evaluation of the quality of electronic educational courses for higher education institutions. Information Technologies and Learning Tools 93(1), 117–134 (Feb 2023), https://doi.org/10.33407/itlt.v93i1.5032 DOI: https://doi.org/10.33407/itlt.v93i1.5032

Morze, N., Buinytska, O., Varchenko-Trotsenko, L., Vasylenko, S., Nastas, D., Tiutiunnyk, A., Lytvynova, S.: System for digital professional development of university teachers. Educational Technology Quarterly 2022(2), 152–168 (Feb 2022), https://doi.org/10.55056/etq.6 DOI: https://doi.org/10.55056/etq.6

Osadcha, K.P., Osadchyi, V.V., Spirin, O.M.: Current state and development trends of e-learning in China. Information Technologies and Learning Tools 85(5), 208–227 (Nov 2021), https://doi.org/10.33407/itlt.v85i5.4399 DOI: https://doi.org/10.33407/itlt.v85i5.4399

Ovcharuk, O.V.: Current approaches to the development of digital competence of human and digital citizenship in European countries. Information Technologies and Learning Tools 76(2), 1–13 (Apr 2020), https://doi.org/10.33407/itlt.v76i2.3526 DOI: https://doi.org/10.33407/itlt.v76i2.3526

Trubavina, I., Vorozhbit-Gorbatyuk, V., Shtefan, M., Kalina, K., Dzhus, O.: From the experience of organizing artistic and productive activities of older preschool children by means of distance education in the conditions of quarantine measures for the spread of COVID-19. Educational Technology Quarterly 2021(1), 51–72 (Mar 2021), https://doi.org/10.55056/etq.56 DOI: https://doi.org/10.55056/etq.56

Vakaliuk, T., Pilkevych, I., Fedorchuk, D., Osadchyi, V., Tokar, A., Naumchak, O.: Methodology of monitoring negative psychological influences in online media. Educational Technology Quarterly 2022(2), 143–151 (Jan 2022), https://doi.org/10.55056/etq.1 DOI: https://doi.org/10.55056/etq.1

Verkhovna Rada of Ukraine: Law of Ukraine On Education (2018), URL https://zakon.rada.gov.ua/laws/show/2145-19?lang=en#Text

Yuskovych-Zhukovska, V., Poplavska, T., Diachenko, O., Mishenina, T., Topolnyk, Y., Gurevych, R.: Application of Artificial Intelligence in Education. Problems and Opportunities for Sustainable Development. BRAIN. Broad Research in Artificial Intelligence and Neuroscience 13(1Sup1), 339–356 (Mar 2022), https://doi.org/10.18662/brain/13.1Sup1/322 DOI: https://doi.org/10.18662/brain/13.1Sup1/322

Published

14-10-2023

Issue

Section

Articles

How to Cite

Fadieieva, L.O., 2023. Adaptive learning concept selection: a bibliometric review of scholarly literature from 2011 to 2019. Educational Dimension [Online], 9, pp.136–148. Available from: https://doi.org/10.31812/ed.643 [Accessed 1 May 2024].
Received 2023-07-15
Accepted 2023-10-14
Published 2023-10-14

Similar Articles

1-10 of 77

You may also start an advanced similarity search for this article.