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Picciano, Anthony G. – Journal of Asynchronous Learning Networks, 2012
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…
Descriptors: Higher Education, Decision Making, Data, Data Analysis
Dziuban, Charles; Moskal, Patsy; Cavanagh, Thomas; Watts, Andre – Journal of Asynchronous Learning Networks, 2012
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…
Descriptors: Educational Change, Strategic Planning, Research Utilization, Databases
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
Data Quality Campaign, 2010
Now that all 50 states and the District of Columbia are building statewide longitudinal data systems, the next step is to ensure that the information in these systems is used to improve student learning. The Data Quality Campaign (DQC) has identified 10 actions that states can take to ensure that the right data are available and accessible and…
Descriptors: Academic Achievement, Feedback (Response), High School Graduates, Graduation Rate
Ma, Xuan; And Others – 1995
This guide presents an introduction to the basics about data collection and discusses the uses of data in daily work. The emphasis is on youth programs in Indiana, but the information is useful for programs in other states. Ways in which program planners and advocacy activists can use data are described, and local, state, and national resources…
Descriptors: Advocacy, Data Analysis, Data Collection, Databases