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This research aimed to explore the trends of research on online learning technology for mathematics and science. The data were obtained from Scopus database using the Publish or Perish application as a reference management tool. Subsequently, the computational mapping analysis was conducted using VOSviewer with a bibliometric approach. The keywords used as a guide for the search process were “technology” AND “online learning” AND “math” OR “science”. Over a span of ten years (2014 to 2023), a total of 458 relevant articles indexed by Scopus were identified. The results showed that research on online learning technology for mathematics and science were categorized into four terms, namely technology, online learning, mathematics, and science. The term "technology" fell within cluster 1, consisting of 149 links, a total link strength of 4936, and 324 occurrences. Online learning was categorized within cluster 2, comprising 149 links, a total link strength of 2921, and 181 occurrences. Mathematics was classified within cluster 4, with 138 links, a total link strength of 939, and 54 occurrences. Lastly, science was also categorized in cluster 4, with 129 links, a total link strength of 2420, and 167 occurrences. The data analysis revealed a fluctuation in research output on online learning technology for mathematics and science. The number of articles increased from 22 in 2014 to 25 in 2015, followed by a decrease to 17 in 2016, increased to 20, 21, 32, 40, 99, and 125 in 2017-2022, and finally decreased to 57 in 2023. These results were illustrated by VOS viewer analysis. The discussion presented can serve as a foundational point for future research on related topics.
Luritawaty et al. (Mon,) studied this question.