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Niemi, David; Gitin, Elena – International Association for Development of the Information Society, 2012
An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…
Descriptors: Higher Education, Online Courses, Academic Persistence, Identification
Herreid, Charlene H.; Miller, Thomas E. – College and University, 2009
This article is the fourth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. In this article, the researchers describe the updated version of the prediction model. The original model was developed from a sample of about 900 First Time in College (FTIC) students…
Descriptors: Prediction, Regression (Statistics), Researchers, Intervention
Herlihy, Corinne – National High School Center, 2007
The transition into high school is a critical point in the educational pipeline, and ninth-grade can be characterized as one of its leakiest junctures. This policy brief examines how some states and districts are currently easing the transition into high school for students. It focuses on five key challenges that states, districts and schools…
Descriptors: High Schools, Grade 9, Dropout Prevention, School Statistics
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers

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