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Alodhaibi, Khalid – ProQuest LLC, 2011
Recommender systems aim to support users in their decision-making process while interacting with large information spaces and recommend items of interest to users based on preferences they have expressed, either explicitly or implicitly. Recommender systems are increasingly used with product and service selection over the Internet. Although…
Descriptors: Information Processing, Decision Support Systems, Decision Making, Preferences
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Glover, Robert H. – CAUSE/EFFECT, 1985
Contrasts are made between application development strategies employed for online transaction processing and for decision support at the University of Hartford. Applications designed and implemented are described and current developments in the plan are discussed. (Author/MLW)
Descriptors: College Administration, College Planning, Computer Software, Databases
Peer reviewed Peer reviewed
Kassicieh, Suleiman K.; Nowak, John W. – Information Processing and Management, 1986
Discusses importance of academic planning and describes a model-based decision support system for academic units in a university hierarchy. This system integrates macro-level decisions by examining individual departments' budgets to determine future plans. Quantitative techniques for forecasting change are reviewed, including use of spreadsheet…
Descriptors: Administrative Organization, Budgeting, Computer Simulation, Databases
Peer reviewed Peer reviewed
Yeo, Gee Kin; Nah, Fui Hoon – Simulation & Gaming, 1992
Describes the design of a decision support system (DSS) for a management game called MAGNUS (Management Game for National University of Singapore). Built-in models for performance analysis and decision making are explained; database query and model building are described; and future work is discussed. (11 references) (LRW)
Descriptors: Administrator Education, Computer Games, Computer Software Development, Databases