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…

Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches generally referred to as analytics. Big data and analytics for instructional applications are in their infancy and will take a few years to mature, although their presence is…

The authors describe the University of Central Florida's top-down/bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors…

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…

This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…

Information Technology is developing rapidly and providing policy/decision makers with large amounts of information that require processing and analysis. Decision support systems (DSS) aim to provide tools that not only help such analyses, but enable the decision maker to experiment and simulate the effects of different policies and selection…

Reviews current applications of geographic information systems (GIS) and suggests that industry can use such systems to aid in decision making. The discussion covers factors that will influence future use of GIS, potential uses of GIS in the private sector, and the need to develop an integrated GIS. (CLB)

The University Information Center has transformed data retrieval and reporting from a slow process performed by high-priced technical personnel to an instantaneous service performed by those who need and can define the service required. The result at Indiana University has been improved quality of computing. (Author/MLW)

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)

The approach to designing decision support systems for academic library management which is described explores online retrieval of profiles of user productivity, resource utilization, and resource availability. Database models, implementation considerations, database management systems, a sample application, and supplementing manager's judgement…

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…

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)

Institutional researchers play a key role in an environment where data warehouses are used to store and retrieve vast amounts of data. Along with the benefits of increased access for more users, improved reporting capabilities, and less reliance on centralized information, come questions of appropriate data usage, data access and security,…