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Showing all 13 results Save | Export
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Bird, Kelli A.; Castleman, Benjamin L.; Song, Yifeng; Mabel, Zachary – Education Next, 2021
An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…
Descriptors: Prediction, Models, Data Analysis, Community Colleges
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Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
McIntosh, Kent; Barnes, Aaron; Eliason, Bert; Morris, Kelsey – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2014
The problem of racial and ethnic discipline disproportionality is both long-standing and widespread. Educators must address this issue by identifying rates of discipline disproportionality, taking steps to reduce it, and monitoring the effects of intervention on disproportionality. The purpose of this guide is to provide a reference for…
Descriptors: Positive Behavior Supports, Intervention, Racial Differences, Ethnic Groups
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Chang, Mido; Choi, Namok; Kim, Sunha – Educational Research and Evaluation, 2015
The goal of the study was to provide empirical findings on the effects of different types of parents' school involvement (PSI) on their children's mathematics performance. For PSI, we explored parent participation in parent-teacher conferences, voluntary parental involvement in school activities, parent informal contact with school or teachers,…
Descriptors: Mathematics Achievement, Parent Participation, Parent School Relationship, Minority Group Students
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Sandmann, Lorilee R.; Jordan, Jenny W.; Mull, Casey D.; Valentine, Thomas – Journal of Higher Education Outreach and Engagement, 2014
Community engagement professionals and partners serve as, work with, study, and build the capacity of boundary spanners. To augment knowledge about these functions, the Weerts-Sandmann Boundary Spanning Conceptual Framework (2010) has been operationalized through a survey instrument to examine community engagement boundary-spanning behaviors by…
Descriptors: Outreach Programs, Change Agents, Community Involvement, Employee Attitudes
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Cutler, David M.; Meara, Ellen; Richards-Shubik, Seth – Journal of Human Resources, 2012
We develop a model of induced innovation that applies to medical research. Our model yields three empirical predictions. First, initial death rates and subsequent research effort should be positively correlated. Second, research effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common…
Descriptors: Evidence, Innovation, Medical Services, Infants
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Mangan, John; Trendle, Bernard – Education Economics, 2010
The vocational education and training (VET) sector is a major pathway to post-school education for indigenous students, yet questions are being raised about the capacity of the VET system to provide successful outcomes for the indigenous apprentices and trainees it attracts. Within a system plagued by high cancellation rates in general, indigenous…
Descriptors: Apprenticeships, Vocational Education, Indigenous Populations, Census Figures
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Humphreys, Lloyd G.: And Others – Applied Psychological Measurement, 1979
A simplex process model of the cross-lagged correlation paradigm was applied to 16 tests administered to samples of Black and White males and females in grades 5, 7, 9, and 11. Relationships among the measures as well as the use of the model are discussed. (Author/JKS)
Descriptors: Academic Achievement, Achievement Tests, Data Analysis, Elementary Secondary Education
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Chang, Lin – New Directions for Institutional Research, 2006
Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)
Descriptors: College Admission, Data Collection, Data Analysis, Models
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Howell, Frank M.; Frese, Wolfgang – Sociology of Education, 1979
Describes research testing the 'race convergence' hypothesis for high school students of low socioeconomic background. Findings showed that many race differentials in the aspiration-formation process disappear at this level. (Author/CK)
Descriptors: Academic Achievement, Aspiration, Data Analysis, Elementary Secondary Education
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Pascarella, Ernest T.; And Others – Journal of Higher Education, 1988
A variable causal model was used to estimate the influence of college on the development of humanitarian/civic involvement values. The findings suggest the importance of social involvement during college as a positive influence on the humanizing of values. Influential types of social involvement differed by student race and gender. (Author/MLW)
Descriptors: Citizen Participation, Citizenship Responsibility, College Attendance, College Students
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Xu, Xueli; von Davier, Matthias – ETS Research Report Series, 2006
More than a dozen statistical models have been developed for the purpose of cognitive diagnosis. These models are supposed to extract a much finer level of information from item responses than traditional unidimensional item response models. In this paper, a general diagnostic model (GDM) was used to analyze a set of simulated sparse data and real…
Descriptors: Statistical Analysis, National Competency Tests, Diagnostic Tests, Item Response Theory
Department of Education, Washington, DC. – 1998
The 20th annual report to Congress on the implementation of the Individuals with Disabilities Education Act (IDEA) is divided into four sections organized around a model which views educational results as products of three sets of factors: the context and environment in which the education is provided, student characteristics, and school programs…
Descriptors: Academic Standards, Access to Education, Accountability, Agency Cooperation