Predict Observe Explain Learning Model in Learning: Bibliometric Analysis Honesty Hidayah Nur Permatasari (a*), Suharno (b), Risa Suryana (c)
Faculty of Teacher Training and Education, Universitas Sebelas Maret, Indonesia
Abstract
This study aims to determine the author^s topic trend based on relevant and widely used terms related to the Predict Observe Explain (POE) learning model, to find out the contribution of Indonesian researchers in related research topics in international scope, and to find out terms that are relevant but need to be developed further as future research. This research method is library research with a descriptive analysis method through bibliometric approach. The metadata articles were obtained by searching in Scopus database, which found 682 articles from 2018 until 2022 with the keyword Predict Observe Explain. All metadata obtained is saved in .ris format for further visualization by VOSviewer. These results of data analysis show that the author^s topic trend based on relevant terms produces two dominant clusters, there are the red cluster and the green cluster. The red cluster focuses on change, factor, time, and prediction, while the green cluster focuses on student, research, learning, and test. The contribution of Indonesian researchers is quite large in the international scope. Indonesia is the second country that dominates by donating 125 articles. There are relevant terms but still a few researched, so it needs to be more developed such as the term critical thinking skills.
