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Trivedi, Shubhendu; Pardos, Zachary A.; Sarkozy, Gabor N.; Heffernan, Neil T. – International Educational Data Mining Society, 2012
Learning a more distributed representation of the input feature space is a powerful method to boost the performance of a given predictor. Often this is accomplished by partitioning the data into homogeneous groups by clustering so that separate models could be trained on each cluster. Intuitively each such predictor is a better representative of…
Descriptors: Homogeneous Grouping, Prediction, Tutors, Cluster Grouping
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Soh, Kay Cheng – Higher Education Review, 2012
Three university ranking systems in vogue have been shown in the previous issue of "Higher Education Review" to be capable of modifications to make them more parsimonious by using only about half of the number of predictors currently in use. This makes some of the predictors "redundant" as they contributed little to the overall ranking. It is…
Descriptors: Higher Education, Predictor Variables, Profiles, Test Items
Fuller, Andrea – Chronicle of Higher Education, 2012
When colleges look to compare themselves with others, they are not much different from high-school students chasing popularity: Everyone wants to be friends with the Ivy League, but the Ivy League is really picky about whom it hangs out with. Each year colleges submit "comparison groups" to the U.S. Department of Education to get…
Descriptors: Higher Education, Student Costs, Graduation Rate, Cluster Grouping
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Johnson, Andrew; Fotouhi, Farshad – Information Systems, 1996
Discussion of hypermedia systems focuses on a comparison of two types of adaptive algorithm (genetic algorithm and neural network) in clustering hypermedia documents. These clusters allow the user to index into the nodes to find needed information more quickly, since clustering is "personalized" based on the user's paths rather than…
Descriptors: Algorithms, Cluster Grouping, Comparative Analysis, Electronic Text
McClurg, Ronald B. – 1978
An analysis of competencies practiced by seventeen health occupation groups was conducted to determine the extent to which commonality existed in job activities. (The groups include accredited records technician, aide/orderly, dental assistant, dental hygienist, dental lab technician, dietetic technician, licensed practical nurse, medical…
Descriptors: Allied Health Occupations Education, Cluster Grouping, Comparative Analysis, Educational Needs
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Adams, Olin L., III; Guarino, A. J.; Robichaux, Rebecca R.; Edwards, Toni L. – Journal of Educational Research & Policy Studies, 2004
This paper explores the nature and extent of outsourcing by higher education institutions, benefits and challenges associated with outsourcing, and the implications of outsourcing for effective management. The principal investigator conducted a national study of outsourcing by four-year colleges and universities at two points in time, 1998-99 and…
Descriptors: Higher Education, Privatization, Contracts, Performance Factors
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Bureau of Labor Statistics (DOL), Washington, DC. – 1999
In 1994, a committee was formed to revise the Standard Occupational Classification (SOC) system to meet the needs of the 21st century. The committee, which was chartered by the Bureau of Labor Statistics and the Bureau of the Census, included representatives from eight public agencies using occupational information. The SOC revision process…
Descriptors: Agency Cooperation, Agency Role, Classification, Cluster Grouping