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Gil, Pablo – Journal of Science Education and Technology, 2017
University courses concerning Computer Vision and Image Processing are generally taught using a traditional methodology that is focused on the teacher rather than on the students. This approach is consequently not effective when teachers seek to attain cognitive objectives involving their students' critical thinking. This manuscript covers the…
Descriptors: Student Projects, Active Learning, Programming Languages, Video Technology
Schleisman, Katrina B.; Selcen Guzey, S.; Lie, Richard; Michlin, Michael; Desjardins, Christopher; Shackleton, Hazel S.; Schwerdfeger, August C.; Michalowski, Martin; Dubinsky, Janet M. – Journal of Science Education and Technology, 2018
Mobile applications (apps) for learning technical scientific content are becoming increasingly popular in educational settings. Neuroscience is often considered complex and challenging for most students to understand conceptually. "iNeuron" is a recently developed iOS app that teaches basic neuroscience in the context of a series of…
Descriptors: Neurosciences, Active Learning, Teaching Methods, Computer Software
Sanders, Nathan E.; Faesi, Chris; Goodman, Alyssa A. – Journal of Science Education and Technology, 2014
Educational technology has attained significant importance as a mechanism for supporting experiential learning of science concepts. However, the growth of this mechanism is limited by the significant time and technical expertise needed to develop such products, particularly in specialized fields of science. We sought to test whether interactive,…
Descriptors: Computer System Design, Computer Software, Learning Modules, Instructional Innovation

Dori, Yehudit J.; Yochim, Jerome M. – Journal of Science Education and Technology, 1994
A studyware comprising a set of interconnected modules on human physiology has been developed and used to improve undergraduate students' achievements. Study results show the scores of students who used the optional computer laboratory sessions were enhanced over those who did not use the studyware. Presents examples from the modules. (LZ)
Descriptors: Academic Achievement, Active Learning, College Students, Computer Assisted Instruction