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Download full textLivieris, 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
Direct linkConijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Joo, So-Hyun; Grable, John E.; Choe, Hyuncha – Journal of Employment Counseling, 2007
This study used classification tree analysis to examine who is and who is not willing to use online employer-provided retirement investment advice. Using data from the Retirement Confidence Survey (Employee Benefit Research Institute, 2004), the study focused on who was more likely to use online retirement investment advice when it was available…
Descriptors: Retirement, Internet, Computer Attitudes, Database Management Systems
