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Rebeckah 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
Samuel Dodson – Information and Learning Sciences, 2025
Purpose: This study aims to investigate patterns of information use among undergraduate engineers as they progress through their academic programs. The primary objective was to discern how second and fourth-year students differ in their use of different types of information while performing specific tasks, namely, conducting labs, composing…
Descriptors: Undergraduate Students, Comparative Analysis, Guidelines, Engineering Education
Andrea L. Schuman; Alaa Abdalla; Jennifer Case; David B. Knight – Chemical Engineering Education, 2025
Study abroad attempts to prepare students to effectively work in a multi-national environment. This study compares students' experiences in a unit operations laboratory course offered in multiple modalities: at students' home university, and four- and eight-week study abroad. The results examine the impact of support on students' learning and…
Descriptors: Study Abroad, Program Length, Comparative Analysis, Educational Experience