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Powel, Wayne D.; And Others – Child Study Journal, 1993
Sixty young children estimated their performance in beanbag throwing. In the three prediction conditions, subjects articulated the differences between their performance and their predictions, only observed the difference, or were unable to observe their performance. Results indicated subjects were aware of differences between performance and…
Descriptors: Achievement, Age Differences, Cognitive Processes, Early Childhood Education
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Benor, Dan; Hobfoll, Stevan E. – Journal of Medical Education, 1981
The relationship of life experience prior to the admission to medical school to clinical performance was studied. Age, prior military experience, and educational background were found to be related to clinical performance. The presence of an interest/motivational factor was presented and discussed. (Author/MLW)
Descriptors: Clinical Experience, Experiential Learning, Foreign Countries, Higher Education
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