Analysis of Trends in Adaptive Learning Using Google Trends and Bibliometric
- 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.
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 -