Proceedings of the International Conference on Information Technology and Education (ICITE 2021)

Analysis of Trends in Adaptive Learning Using Google Trends and Bibliometric

Authors
Citra Kurniawan1, *, Shirly Rizki Kusumaningrum2
1Department of Educational Technology, Faculty of Education, Universitas Negeri Malang, Malang, Indonesia
2Basic Education Study Program, Postgraduate program, Universitas Negeri Malang, Malang, Indonesia
*Corresponding author. Email: citra.kurniawan.fip@um.ac.id
Corresponding Author
Citra Kurniawan
Available Online 13 December 2021.
DOI
10.2991/assehr.k.211210.015How to use a DOI?
Keywords
adaptive learning; google trends; bibliometric; data visualization
Abstract

Adaptive learning was an interesting topic amid the many choices of 21st-century learning strategies. The development of research and topics related to adaptive learning is believed to grow rapidly in line with the diverse needs of the students. However, trends and research developments related to adaptive learning still need to be identified and analyzed to see the researchers’ interest in the topic. This study aims to analyze the development of adaptive learning within a decade. The researchers employ data visualization techniques by using Google trend and bibliometric data. A total of 8475 browsing history indices and 2829 documents were involved in the analysis process. Research findings show that adaptive learning has grown rapidly in the past decade as indicated by the increasing interest of researchers and search results related to adaptive learning. The findings of this study are expected to be a reference for research focusing on adaptive learning.

Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Information Technology and Education (ICITE 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
13 December 2021
ISBN
10.2991/assehr.k.211210.015
ISSN
2352-5398
DOI
10.2991/assehr.k.211210.015How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Citra Kurniawan
AU  - Shirly Rizki Kusumaningrum
PY  - 2021
DA  - 2021/12/13
TI  - Analysis of Trends in Adaptive Learning Using Google Trends and Bibliometric
BT  - Proceedings of the International Conference on Information Technology and Education (ICITE 2021)
PB  - Atlantis Press
SP  - 91
EP  - 97
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211210.015
DO  - 10.2991/assehr.k.211210.015
ID  - Kurniawan2021
ER  -