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Kedron, Peter; Quick, Matthew; Hilgendorf, Zach; Sachdeva, Mehak – Journal of Geography in Higher Education, 2022
Educational materials focused on spatial data analysis often feature mathematical descriptions of methods and step-by-step instructions of software tools, but infrequently discuss the set of decisions involved in specifying a statistical model. Failing to consider model specification may lead to specification searching, or the process of repeating…
Descriptors: Geography Instruction, Data Analysis, Meta Analysis, Decision Making
Tippett, Christine D. – International Journal of Science Education, 2016
The move from learning science from representations to learning science with representations has many potential and undocumented complexities. This thematic analysis partially explores the trends of representational uses in science instruction, examining 80 research studies on diagram use in science. These studies, published during 2000-2014, were…
Descriptors: Visual Aids, Science Education, Research Methodology, Qualitative Research
El Zein, Farah; Solis, Michael; Vaughn, Sharon; McCulley, Lisa – Journal of Autism and Developmental Disorders, 2014
The authors synthesized reading intervention studies conducted between 1980 and 2012 with K-12 students identified with autism spectrum disorders (ASD). Nine single-subject design studies, one quasi-experimental study, and two single-group design studies met the criteria for inclusion. Findings from the studies indicate that modifying…
Descriptors: Meta Analysis, Reading Instruction, Intervention, Reading Difficulties
Hoffler, Tim N.; Leutner, Detlev – Learning and Instruction, 2007
A meta-analysis of 26 primary studies, yielding 76 pair-wise comparisons of dynamic and static visualizations, reveals a medium-sized overall advantage of instructional animations over static pictures. The mean weighted effect size on learning outcome is d = 0.37 (95% CI 0.25-0.49). Moderator analyses indicate even more substantial effect sizes…
Descriptors: Animation, Instructional Design, Effect Size, Meta Analysis