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Al-Salmani, Fatema; Thacker, Beth – Physical Review Physics Education Research, 2021
We designed a rubric to assess free-response exam problems in order to compare thinking skills evidenced in exams in classes taught by different pedagogies. The rubric was designed based on Bloom's taxonomy and then used to code exam problems. We have analyzed historical and recent exam problems in both algebra-based and calculus-based exams. In…
Descriptors: Inquiry, Thinking Skills, Scoring Rubrics, Algebra
Gok, Tolga – Asia-Pacific Forum on Science Learning and Teaching, 2012
The aim of this study was to investigate the effects of peer instruction on college students' conceptual learning, motivation, and self-efficacy in an algebra-based introductory physics course for nonmajors. Variables were studied via a quasi-experiment, Solomon four-group design on 123 students. Treatment groups were taught by peer instruction.…
Descriptors: Physics, Motivation, Self Efficacy, Control Groups
Yoder, Garett; Cook, Jerry – Journal of STEM Education: Innovations and Research, 2014
The Department of Physics at EKU [Eastern Kentucky University] with support from the National Science Foundations Course Curriculum and Laboratory Improvement Program has successfully converted our entire introductory physics sequence, both algebra-based and calculus-based courses, to an activity-based format where laboratory activities,…
Descriptors: Physics, College Science, Science Laboratories, Laboratory Experiments
Kohl, Patrick B.; Finkelstein, Noah D. – Physical Review Special Topics - Physics Education Research, 2005
Student success in solving physics problems is related to the representational format of the problem. We study student representational competence in two large-lecture algebra-based introductory university physics courses with approximately 600 participants total. We examined student performance on homework problems given in four different…
Descriptors: Homework, Physics, Tests, Universities
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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