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Roche, Joseph; Stanley, Jessica; Davis, Nicola – Physics Education, 2016
Science shows provide a method of introducing large public audiences to physics concepts in a nonformal learning environment. While these shows have the potential to provide novel means of educational engagement, it is often difficult to measure that engagement. We present a method of producing an interactive physics show that seeks to provide…
Descriptors: Physics, Scientists, Scientific Concepts, Technology Uses in Education
Bellocchi, Alberto; King, Donna T.; Ritchie, Stephen M. – International Journal of Science Education, 2016
There is on-going international interest in the relationships between assessment instruments, students' understanding of science concepts and context-based curriculum approaches. This study extends earlier research showing that students can develop connections between contexts and concepts--called "fluid transitions"--when studying…
Descriptors: Comparative Analysis, Student Reaction, Chemistry, Science Education
Aschbacher, Pamela; Alonzo, Alicia – Educational Assessment, 2006
This article explores the potential of using students' science notebooks to help elementary teachers monitor conceptual understanding. Data came from 25 teachers and their 4th- and 5th-grade students working on a unit on electricity. At the time data were collected, 8 of the teachers had received professional development on science content…
Descriptors: Elementary School Science, Student Journals, Elementary School Teachers, Formative Evaluation
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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