Bibliometric analysis trend of computational thinking research in physics: Thinking skills to support environmental sustainability for elementary and high schools

• Main Authors: Irwandani, Santi, Kurnia, Pricilia, Agitha, Sari, Putri Mardiana, Rahmayanti, Henita, Ichsan, Ilmi Zajuli, Nurfadhilah, Sison, Maricar H.
• Format: Conference Proceeding
• Language: English
• Subjects: Bibliometrics; Clusters; Critical thinking; Education; Learning; Physics; Problem solving; Publication output; Skills; Sustainability; Sustainable development
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0124196

The stages of computational thinking skills are beneficial in shaping creative thinking and finding structural ideas, especially in education that aims to support environmental sustainability. Besides developing creative thinking, the stages also help the learners understand how to implement ideas into computational procedures. Through bibliometric studies, this article discusses global research trends in computational thinking based on publication output and co-occurrence of author keywords. Metadata had been obtained from Scopus, which consisted of nine articles published between 2014 and 2020. The results show that computational thinking research in physics was first identified in 2014 and then reappeared in 2018. The VOSviewer software reviewed five clusters. The most frequently used keywords were computational thinking, students, computational theory, computational model, curricula, computational method, physics education, computational physics course, creative thinking, learning by modelling, and synergistic learning. These clusters represented streams of computational thinking research in physics. The four main computational thinking practices in physics are data, modelling and simulation, computational problem-solving, and systems thinking. Those practices have not been maximized since researches on computational thinking in physics are lacking in number. This article will further discuss research opportunities related to computational thinking to support environmental sustainability in the future.