Systematic review of adaptive learning research in physics education in Indonesia

Muhammad Minan Chusni(1*)


(1) Scopus ID 57205023959 UIN Sunan Gunung Djati Bandung
(*) Corresponding Author

Abstract


This study aims to map publication topics and research interests based on the author's keywords in an analysis based on co-occurrence analysis from the Scopus database on adaptive learning research in physics education. This study uses a systematic review method with the main data sources, namely articles from scientific journals and proceedings indexed by Scopus from 2013 to 2022. Keyword restrictions are focused on adaptive learning with physics topics in Indonesia. The results of the study show that there are five main clusters related to adaptive learning, namely machine learning, deep learning, algorithms, calculations, and students. Based on the results of the novelty analysis, areas that are becoming research trends in the realm of educational research are independent learning, instructional design, and curriculum to optimize adaptive learning. The results of this study can be used as a reference for further research that focuses on developing and optimizing the potential of adaptive learning in Indonesia.


Keywords


Adaptive learning sistematic review Physics education Indonesia

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DOI: https://doi.org/10.26714/jps.10.2.2022.XX-XX

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