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Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
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Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
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Yang, Yan; Taylor, Jeff – Educational Research and Evaluation, 2013
The purpose of this study was to examine the role of achievement goals in online test anxiety and help-seeking while controlling for self-efficacy and potential demographic differences. A total of 150 online students participated in the survey. Separate hierarchical regression analysis results suggested the differential roles of achievement goals…
Descriptors: Test Anxiety, Goal Orientation, Help Seeking, Online Courses
Sims, Betty – ProQuest LLC, 2012
Standardized testing and assessment packages have been implemented by nursing program directors to predict and improve pass rates on the National Council Licensure Examination (NCLEX). The methods of implementation vary from program to program, and as a result, the outcomes in the programs vary. The purpose of this quantitative study was to…
Descriptors: Nurses, Licensing Examinations (Professions), Computer Assisted Testing, Predictor Variables
Vossler, Victoria L. – ProQuest LLC, 2010
The attrition of special education teachers greatly affects the quality of special education services districts can provide for students with disabilities and creates an ongoing challenge for educational leaders. It is essential to understand the factors influencing special education teachers' decisions to leave or remain in the field. If…
Descriptors: Teacher Persistence, Special Education Teachers, Special Education, Field Tests
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Gavazzi, Stephen M.; Russell, Christiana M.; Khurana, Atika – Negro Educational Review, 2009
Disproportionately large numbers of Black youth experience repeated encounters with the juvenile justice system, and often these same youth present with a variety of school-related difficulties. Data from a sample of 842 Black males, assessed in five Ohio juvenile courts using the Global Risk Assessment Device (GRAD), are used to describe the…
Descriptors: African American Children, Learning Problems, Student Behavior, Academic Achievement
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Wieling, M. B.; Hofman, W. H. A. – Computers & Education, 2010
To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional face-to-face course approach? In a between-subjects…
Descriptors: Feedback (Response), Grade Point Average, Predictor Variables, Lecture Method