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Vella, Elizabeth J.; Turesky, Elizabeth F.; Hebert, Jenni – Quality Assurance in Education: An International Perspective, 2016
Purpose: The purpose of this paper is to use a heutagogical approach to determine whether students enrolled in blended courses achieve higher grades relative to those enrolled in completely online courses, in addition to identifying demographic predictors of academic success in college courses involving Web-based modes of instruction.…
Descriptors: Predictor Variables, Grade Point Average, Gender Differences, Blended Learning
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Curtin, Jenny; Hurwitch, Bill; Olson, Tom – National Center for Education Statistics, 2012
An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…
Descriptors: Databases, Educational Indicators, Predictor Variables, At Risk Students
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Gupta, Sat; Harris, David E.; Carrier, Nellie M; Caron, Paul – College Student Journal, 2006
Most undergraduate programs require completion of a mathematics course, but pass rates in these courses are often low. To determine predictors of student success in 100-level mathematics courses at the University of Southern Maine, we used a questionnaire to collect information on possible predictors of grade (student demographics, attitude,…
Descriptors: College Mathematics, Multivariate Analysis, Educational Experience, Student Attitudes