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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
Chen, Chen-Su; Sable, Jennifer; Mitchell, Lindsey; Liu, Fei – National Center for Education Statistics, 2012
The Common Core of Data (CCD) nonfiscal surveys consist of data submitted annually to the National Center for Education Statistics (NCES) by state education agencies (SEAs) in the 50 states, the District of Columbia, Puerto Rico, the four U.S. Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin…
Descriptors: School Surveys, Documentation, State Surveys, Annual Reports
Almeida, Cheryl; Steinberg, Adria; Santos, Janet; Le, Cecilia – Jobs for the Future, 2010
Solving America's dropout crisis requires immediate, drastic action. Intractable as the dropout problem may seem, recognition of its magnitude has created an environment ripe for action. Most notably, federal regulations adopted in 2008 require states to use more accurate ways of counting dropouts and holding districts and schools more accountable…
Descriptors: Graduation Rate, Dropout Prevention, Dropouts, Accountability
Bowers, Alex J. – Journal of Educational Research, 2010
Studies of student risk of school dropout have shown that present predictors of at-risk status do not accurately identify a large percentage of students who eventually drop out. Through the analysis of the entire Grade 1-12 longitudinal cohort-based grading histories of the class of 2006 for two school districts in the United States, the author…
Descriptors: Grade Point Average, Dropouts, Graduation, At Risk Students
Fusilier, Marcelline; Durlabhji, Subhash; Cucchi, Alain – Journal of Educational Computing Research, 2008
National background of users may influence the process of technology acceptance. The present study explored this issue with the new, integrated technology use model proposed by Sun and Zhang (2006). Data were collected from samples of college students in India, Mauritius, Reunion Island, and United States. Questionnaire methodology and…
Descriptors: Foreign Countries, Data Analysis, Internet, Technology Integration
Keith, K. D.; Bonham, G. S. – Journal of Intellectual Disability Research, 2005
Background: To date researchers have given little attention to the use of quality of life (QOL) data for organization and systems-level change. This article presents two state-level examples of how QOL data are currently used in the USA. Method: Individuals with intellectual disability (ID) were assessed on an ongoing basis using two…
Descriptors: Quality of Life, Mental Retardation, Disabilities, Change Strategies
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