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Kaur, Tejinder; Blair, David; Moschilla, John; Stannard, Warren; Zadnik, Marjan – Physics Education, 2017
This paper reviews research results obtained from Einsteinian physics programs run by different instructors with Years 6, 9, 10 and 11 students using the models and analogies described in parts 1 and 2. The research aimed to determine whether it is possible to teach Einsteinian physics and to measure the changes in student attitudes to physics…
Descriptors: Physics, Science Instruction, Pretests Posttests, Foreign Countries
Askew, Karyl; Stevenson, Olivia; Jones, Bridget – Grantee Submission, 2018
"INSPIRE" is an Investing in Innovation (i3) development grant funded by the Office of Innovation and Improvement, U.S. Department of Education. "INSPIRE" provides an innovative integrated K-12 STEM pipeline approach focused on STEM course content and instructional redesign. The INSPIRE model was implemented in Cabarrus County…
Descriptors: STEM Education, Standardized Tests, Mathematics Achievement, Science Achievement
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Chung, C. J. ChanJin; Cartwright, Christopher; Cole, Matthew – Journal of STEM Education: Innovations and Research, 2014
Robotics competitions for K-12 students are popular, but are students really learning and improving their STEM scores through robotics competitions? If not, why not? If they are, how much more effective is learning through competitions than traditional classes? Is there room for improvement? What is the best robotics competition model to maximize…
Descriptors: STEM Education, Robotics, Competition, Teaching Methods
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Hedges, Larry V.; Hedberg, E. C. – Evaluation Review, 2013
Background: Cluster-randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…
Descriptors: Correlation, Multivariate Analysis, Educational Experiments, Statistical Analysis