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Direct linkRebeckah K. Fussell; Megan Flynn; Anil Damle; Michael F. J. Fox; N. G. Holmes – Physical Review Physics Education Research, 2025
Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…
Descriptors: Physics, Computational Linguistics, Classification, Laboratory Experiments
Ebrahimi, Alireza – Journal of Educational Technology Systems, 2012
How does early feedback change the programming problem solving in an online environment and help students choose correct approaches? This study was conducted in a sample of students learning programming in an online course entitled Introduction to C++ and OOP (Object Oriented Programming) using the ANGEL learning management system platform. My…
Descriptors: Programming, Computer Science Education, Online Courses, Computer Mediated Communication
Download full textPenuel, William R.; Bates, Lauren; Townsend, Eve; Gallagher, Lawrence P.; Pasnik, Shelley; Llorente, Carlin – Society for Research on Educational Effectiveness, 2010
Described here is a study on the efficacy of a digital media-rich curriculum based on the idea that children can learn best from "media synergy", that is, when children have opportunities to learn skills by engaging in repeated practice with them in many different formats and media (Neuman, 1995). The study is part of the "Ready to…
Descriptors: Preschool Curriculum, Television Viewing, Evaluation Research, School Readiness
