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Arfaee, Mohammad; Bahari, Arman; Khalilzadeh, Mohammad – Education and Information Technologies, 2022
Human resources training is considered an effective solution in empowering human resources. Organizations try to have effective educational planning for this precious resource by identifying shortcomings through a need assessment. This study provides a model based on organizational data analysis to achieve a unique and appropriate training…
Descriptors: Prediction, Models, Educational Planning, Data Analysis
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Christie, S. Thomas; Jarratt, Daniel C.; Olson, Lukas A.; Taijala, Taavi T. – International Educational Data Mining Society, 2019
Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…
Descriptors: Dropout Prevention, At Risk Students, Artificial Intelligence, Decision Support Systems
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
Pope, James A.; Cross, Edward M. – CAUSE/EFFECT, 1982
The design of a database interface, the different types of decisions supported, the nature and applications of the system outputs, and continuing work on extending the system are described. The system was designed to forecast the enrollment for Guilford College. (Author/MLW)
Descriptors: College Admission, Data Processing, Decision Support Systems, Enrollment
Small, Ruth V.; Venkatesh, Murali – 1995
Satisfaction is a construct that is important to the development of intrinsic motivation and the continuing effort to learn. Research that helps to identify those factors that contribute to satisfaction is useful in the design of electronic support systems for individuals and groups. This paper investigates the impact of "need for…
Descriptors: Cognitive Processes, Computer Mediated Communication, Decision Making, Decision Support Systems
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Campbell, John P.; DeBlois, Peter B.; Oblinger, Diana G. – EDUCAUSE Review, 2007
In responding to internal and external pressures for accountability in higher education, especially in the areas of improved learning outcomes and student success, IT leaders may soon become critical partners with academic and student affairs. IT can help answer this call for accountability through "academic analytics," which is emerging…
Descriptors: Accountability, Higher Education, Information Technology, Outcomes of Education
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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
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Caulkins, Jonathan P. – Journal of Policy Analysis and Management, 2002
In this article, the author discusses the use in policy analysis of models that incorporate uncertainty. He believes that all models should consider incorporating uncertainty, but that at the same time it is important to understand that sampling variability is not usually the dominant driver of uncertainty in policy analyses. He also argues that…
Descriptors: Statistical Inference, Models, Policy Analysis, Sampling