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A Decision Support System for Predicting Students' Performance
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Livieris, Ioannis E.; Mikropoulos, Tassos A.; Pintelas, Panagiotis – Themes in Science and Technology Education, 2016
Educational data mining is an emerging research field concerned with developing methods for exploring the unique types of data that come from educational context. These data allow the educational stakeholders to discover new, interesting and valuable knowledge about students. In this paper, we present a new user-friendly decision support tool for…
Descriptors: Predictive Measurement, Decision Support Systems, Academic Achievement, Exit Examinations
A Crystal Ball for Student Achievement
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Pascopella, Angela – District Administration, 2012
Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…
Descriptors: Expertise, Prediction, Decision Making, Data
The Role of Feedback in the Assimilation of Information in Prediction Markets
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Jolly, Richard Donald – ProQuest LLC, 2011
Leveraging the knowledge of an organization is an ongoing challenge that has given rise to the field of knowledge management. Yet, despite spending enormous sums of organizational resources on Information Technology (IT) systems, executives recognize there is much more knowledge to harvest. Prediction markets are emerging as one tool to help…
Descriptors: Information Technology, Knowledge Management, Program Effectiveness, Prediction
Predictive Modeling to Forecast Student Outcomes and Drive Effective Interventions in Online Community College Courses
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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
Using Data Mining to Predict K-12 Students' Performance on Large-Scale Assessment Items Related to Energy
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Liu, Xiufeng; Ruiz, Miguel E. – Journal of Research in Science Teaching, 2008
This article reports a study on using data mining to predict K-12 students' competence levels on test items related to energy. Data sources are the 1995 Third International Mathematics and Science Study (TIMSS), 1999 TIMSS-Repeat, 2003 Trend in International Mathematics and Science Study (TIMSS), and the National Assessment of Educational…
Descriptors: Concept Teaching, Elementary Secondary Education, Academic Achievement, National Competency Tests
Decision Support Systems in Academic Planning: Important Considerations and Issues.
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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