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Deshler, Jessica; Fuller, Edgar – Journal of Computers in Mathematics and Science Teaching, 2016
Approximately 30% of students entering West Virginia University (WVU) are not ready for college mathematics. The WVU Department of Mathematics has been tasked with remediating these students and has worked over the last decade to find the most efficient way to teach the Pre-College Algebra Workshop; the prerequisite course students must complete…
Descriptors: College Mathematics, Mathematics, Mathematics Instruction, Mathematics Curriculum
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Florida, Jennifer – Journal of Computers in Mathematics and Science Teaching, 2012
The study deals with the development of an analogy-integrated e-learning module on Cellular Respiration, which is intended to facilitate conceptual understanding of students with different brain hemisphere dominance and learning styles. The module includes eight analogies originally conceptualized following the specific steps used to prepare…
Descriptors: Foreign Countries, Cognitive Style, Learning Modules, Biochemistry
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Green, Kris H. – Journal of Computers in Mathematics and Science Teaching, 2008
This paper explores the use of spreadsheets to develop an exploratory environment where mathematics students can develop their own understanding of the parameters of commonly encountered families of functions: linear, logarithmic, exponential and power. The key to this understanding involves opening up the definition of rate of change from the…
Descriptors: Spreadsheets, Educational Technology, Computer Assisted Instruction, Mathematics Instruction
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Rushinek, Avi; And Others – Journal of Computers in Mathematics and Science Teaching, 1983
Examined what effect the use of computer-assisted instruction (CAI) has upon data processing students' attitudes (N=239) and developed/tested a quantitative model designed to evaluate CAI modifications relative to such attitudes. One finding reported is that the discriminant model tested can be used to measure gain/loss of students rating due to…
Descriptors: Attitude Change, College Students, Computer Assisted Instruction, Discriminant Analysis