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Minjoon Kouh – Journal of College Science Teaching, 2024
An introductory physics course may be run like a video game, where students have an almost unlimited number of attempts to demonstrate their competencies through a sequence of zero-penalty assessments until the end of a semester. Each checkpoint is conducted as a 10-minute, one-on-one oral interview with the instructor, and students are not…
Descriptors: Introductory Courses, Physics, Science Education, Pacing
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Ipek, Ismail – Turkish Online Journal of Educational Technology - TOJET, 2010
The purpose of this study was to investigate the effects of CBI lesson sequence type and cognitive style of field dependence on learning from Computer-Based Cooperative Instruction (CBCI) in WEB on the dependent measures, achievement, reading comprehension and reading rate. Eighty-seven college undergraduate students were randomly assigned to…
Descriptors: Undergraduate Students, Reading Comprehension, Cognitive Style, Statistical Analysis
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Bhattacharyya, Gautam; Bodner, George M. – Journal of Chemical Education, 2005
A study examined the way graduate students solved mechanism problems that were far removed from the simple systems in which mechanisms are traditionally presented. One aim is to probe the extent to which the students' experiences with the organic chemistry as undergraduates prepared them to solve mechanism problems they were likely to face as…
Descriptors: Graduate Students, Organic Chemistry, Undergraduate Students, Sequential Learning
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Baeyens, Frank; Vansteenwegen, Debora; Beckers, Tom; Hermans, Dirk; Kerkhof, Ineke; De Ceulaer, Annick – Learning & Memory, 2005
Using a conditioned suppression task, we investigated extinction and renewal of Pavlovian modulation in human sequential Feature Positive (FP) discrimination learning. In Experiment 1, in context a participants were first trained on two FP discriminations, X[right arrow]A+/A- and Y[right arrow]B+/B-. Extinction treatment was administered in the…
Descriptors: Discrimination Learning, Classical Conditioning, Contingency Management, Sequential Learning