RESEARCH TRENDS ON MULTIMODAL ASSESSMENT IN SCIENCES LEARNING: BIBLIOMETRICS ANALYSIS

This study aims to conduct a bibliometric analysis to obtain the current emerging trends in multimodal assessment (MMA) for science learning namely the annual development, contributions of countries, organizations, and co-occurrence of keywords on MMA. The data was extracted from Scopus for the timespan of 1981-2022 and screened to result in 158 documents that met the criteria. Data were analysed by Microsoft Excel, VOSviewer, and Bibliometrics. The productivity and reputation of MMA in science learning increased over time, although there was a gap in the period (1982-1990). Additionally, the citation number of MMA in science learning has not shown a satisfactory level. Institutions in the USA outperformed the number of publications. Most authors publish papers through intra-collaboration countries The trending topic of the field is artificial intelligence. Therefore, MMA-related research is directed at the integration of digital technologies.