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Brasier, Daniel J.; Melville, Michael; Hershock, Chad; Rule, Gordon – Journal of Computer Assisted Learning, 2019
In this study, we investigated the optimal placement of animations and practice and feedback exercises with respect to each other and to static text and graphics in an online DNA replication module. We randomly assigned students in a first-semester introductory biology course for freshmen biology majors and nonmajors to one of four online modules…
Descriptors: Genetics, Introductory Courses, Biology, Science Instruction
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McKenna, Brigid A.; Kopittke, Peter M. – Journal of Computer Assisted Learning, 2018
Quantifying student engagement with online learning resources on virtual learning environments such as BlackBoard is important in understanding how these technologies enhance the student learning. In the present study, it was examined when, and how often, first-year students accessed lecture recordings, lecture slides, and lecture notes via…
Descriptors: Learner Engagement, Science Instruction, Natural Resources, Science Curriculum
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Rayyan, S.; Fredericks, C.; Colvin, K. F.; Liu, A.; Teodorescu, R.; Barrantes, A.; Pawl, A.; Seaton, D. T.; Pritchard, D. E. – Journal of Computer Assisted Learning, 2016
We describe three iterations of a Massive Open Online Course (MOOC) developed from online preparation materials for a reformed introductory physics classroom at the Massachusetts Institute of Technology, in which the teaching staff interact with small groups of students doing problems using an expert problem-solving pedagogy. The MOOC contains an…
Descriptors: Online Courses, Large Group Instruction, Physics, Science Instruction
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Muller, D. A.; Bewes, J.; Sharma, M. D.; Reimann, P. – Journal of Computer Assisted Learning, 2008
In this study, 364 first-year physics students were randomly assigned to one of four online multimedia treatments on Newton's First and Second Laws of Motion: (1) the "Exposition", a concise lecture-style presentation; (2) the "Extended Exposition", the Exposition with additional interesting information; (3) the "Refutation", the Exposition with…
Descriptors: Prior Learning, Mechanics (Physics), Effect Size, Misconceptions
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Millar, R. – Journal of Computer Assisted Learning, 1991
It is argued that science's reputation as a "hard" subject can be attributed to four intrinsic features of science and/or learners. The reasons for a link between abstraction and difficulty are briefly explored. It is suggested that certain extrinsic features of science education, resulting from choices by science educators, exacerbate these…
Descriptors: Abstract Reasoning, Course Content, Decision Making, Inquiry