Vol. 2 No. 1 (2026): Februari

This online journal presents a collection of scholarly works in physics education, science education, and educational technology contributed by academics and practitioners from diverse regions of Indonesia, reflecting strong intellectual collaboration across North Sumatra, West Sumatra, Jambi, South Sulawesi, Central Java, and Jakarta. The published articles address contemporary and relevant issues, including the validation of physics learning tools based on Research-Based Learning models, analysis of integrated science learning outcomes related to character education, development of artificial intelligence–based automated feedback systems for diagnosing physics misconceptions, examination of digital learning challenges during the COVID-19 pandemic, and the application of machine learning methods such as K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) for student performance classification.