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Roemischer, Miriam D. – Educ Horiz, 1969
Excerpt of a PhD dissertation submitted to the New York University School of Education
Descriptors: Cognitive Development, Comparative Analysis, Generalization, Genetics
Peer reviewedSpiker, Charles C.; And Others – Journal of Experimental Child Psychology, 1972
Rejoinder to PS 502 062 which in turn is an alternative analysis of authors' study presented in PS 502 061. (MB)
Descriptors: Comparative Analysis, Goodness of Fit, Learning Theories, Models
Burima-Siperko, Gloria M.; Moller, Carolyn U. – 1982
The objective of this pilot study was to directly compare operationalizations of Piagetian and behavioristic learning theories in terms of acquired skills and transferability of knowledge acquired. It was hypothesized that, in a population of kindergarten children, (1) Piagetian and behavioristic methods would be equally effective in teaching…
Descriptors: Arithmetic, Comparative Analysis, Generalization, Kindergarten Children
Blake, Robert; Mouton, Jane – Industrial Training International, 1972
Authors outline the advantages of using a cyclical approach of instrumented learning and compare it with the traditional classroom method. (Editor/MB)
Descriptors: Comparative Analysis, Feedback, Generalization, Learning Activities
Peer reviewedBogartz, Richard S. – Journal of Experimental Child Psychology, 1972
Alternative analysis to study reported in PS 502 061. Rejoinder presented in PS 502 063. (MB)
Descriptors: Comparative Analysis, Cues, Discrimination Learning, Goodness of Fit
Download full textStamper, 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
