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Zhao, Chun-Mei; Luan, Jing – New Directions for Institutional Research, 2006
The authors provide an overview of data mining, giving special attention to the relationship between data mining and statistics to unravel some misunderstandings about the two techniques. (Contains 1 figure.)
Descriptors: Statistics, Enrollment, Data Collection, Data Analysis
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Luan, Jing; Zhao, Chun-Mei – New Directions for Institutional Research, 2006
As a tour de force, data mining is likely to gain wider use in the next few years. To facilitate this transition, we make several recommendations addressed to both institutional research professionals and the Association of Institutional Research.
Descriptors: Institutional Research, Enrollment Management, Educational Research, Data Analysis
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Serban, Andreea M.; Luan, Jing – New Directions for Institutional Research, 2002
Defines knowledge management, its components, processes, and outcomes. Addresses the importance of knowledge management for higher education in general and for institutional research in particular. (EV)
Descriptors: College Planning, Definitions, Educational Improvement, Higher Education
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Voorhees, Richard A.; Smith, Gregory P.; Luan, Jing – Journal of Applied Research in the Community College, 2006
This article sketches a research agenda for the further study of community college student transitions. Specific techniques are depicted as are potential data sources that can be used to pursue that agenda. The role of student tracking systems in transition research is discussed as well as the applicability of national surveys to the study of…
Descriptors: National Surveys, Researchers, Institutional Research, Community Colleges
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Luan, Jing – New Directions for Institutional Research, 2002
Examines the theoretical basis for data mining, one of the essential knowledge management processes, and uses a case study to describe its application and impact. (EV)
Descriptors: Case Studies, College Planning, Data Interpretation, Educational Improvement