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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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Ford, Nigel – Journal of the American Society for Information Science, 2000
Discussion of navigation through virtual information environments focuses on the need for robust user models that take into account individual differences. Considers Pask's information processing styles and strategies; deep (transformational) and surface (reproductive) learning; field dependence/independence; divergent/convergent thinking;…
Descriptors: Cognitive Processes, Cognitive Style, Computer System Design, Databases
Balaraman, Kamala – Proceedings of the ASIS Annual Meeting, 1991
Describes preliminary results of a study that examined the effect of individual differences on the use of CD-ROM databases by novice undergraduate users. Factors considered include age, sex, native language, major, computer literacy, computer affinity, personality traits, learning style, visual ability, and perceived usefulness of the system. A…
Descriptors: Academic Libraries, Correlation, Databases, 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