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Patrick N. Beymer; Matthew J. Schell; Kimberly M. Alberts; Vicky Phun; Joshua M. Rosenberg; Jennifer A. Schmidt – Journal of Research in Science Teaching, 2025
Student engagement is widely considered to be a multidimensional construct consisting of behavioral, cognitive, and affective components. Recent research has examined student engagement in science learning contexts using holistic approaches that account for multidimensionality through the identification of engagement profiles. However, it is not…
Descriptors: Informal Education, Science Education, Learner Engagement, Profiles
Çalik, Muammer; Ultay, Neslihan; Bag, Hasan; Ayas, Alipasa – Chemistry Education Research and Practice, 2023
Through a meta-analysis, this study examines how effective particulate nature of matter (PNM)-based intervention studies are at improving academic performance. Well-known databases (e.g., ERIC, Springer Link, Taylor & Francis, and ScienceDirect) were used to look for the PNM-based intervention studies via specific keyword patterns. Also, a…
Descriptors: Science Achievement, Meta Analysis, Intervention, Databases
International Association for the Evaluation of Educational Achievement, 2022
The Responses to Educational Disruption Survey (REDS), conducted by the International Association for the Evaluation of Educational Achievement (IEA), studied how teaching and learning were affected by the disruptions caused by COVID-19 and aimed to paint a picture of national responses to the global pandemic. REDS was based on the premise that…
Descriptors: Teaching Methods, Learning Processes, Principals, Administrator Attitudes
Mastorodimos, Dimitrios; Chatzichristofis, Savvas A. – Journal of Educational Technology Systems, 2019
Students face difficulties in learning mathematical processes. As a result, they have negative emotions toward mathematics. The use of technology is employed to change the student's attitude toward mathematics. Some methods utilize intelligent tutoring systems to recognize student's emotional state and adapt the learning process accordingly. These…
Descriptors: Mathematics Instruction, Mathematical Concepts, Intelligent Tutoring Systems, Learning Processes