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Wilsey, Jillian N.; Moore-Russo, Deborah A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2012
This study examined preservice teachers' reactions to and reflections on a set of five animations as representations of algebra instruction. The results showed that most comments in the preservice teachers' reflections were related to: (a) student learning and motivation, or (b) the classroom and instructional environment. Few comments in the…
Descriptors: Mathematics Instruction, Algebra, Preservice Teacher Education, Preservice Teachers

Norton, James R. – Educational Research Quarterly, 1978
A community college intermediate algebra course was taught using four-person student teams and self-pacing according to Bloom's mastery learning model. The instructor assisted teams and lectured when necessary. Positive attitudes and 90-100 percent mastery resulted. Most students would have probably completed the one-semester course in two…
Descriptors: Academic Achievement, Algebra, Individual Instruction, Mastery Learning
Dick, Dolores – 1980
This study tests the effects on student achievement and attitude of two methods of reviewing homework problems in mathematics. One review procedure involved solving and explaining each homework problem the day after an assignment was made. In the second procedure, only the problems that students requested to have reviewed were covered. Two Algebra…
Descriptors: Academic Achievement, Algebra, Cognitive Style, Homework
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection