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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Aulck, Lovenoor; Nambi, Dev; Velagapudi, Nishant; Blumenstock, Joshua; West, Jevin – International Educational Data Mining Society, 2019
Each year, roughly 30% of first-year students at US baccalaureate institutions do not return for their second year and billions of dollars are spent educating these students. Yet, little quantitative research has analyzed the causes and possible remedies for student attrition. What's more, most of the previous attempts to model attrition at…
Descriptors: Student Records, Registrars (School), Predictor Variables, Undergraduate Students
Marini, Jessica; Shaw, Emily; Young, Linda; Ewing, Maureen – College Board, 2018
This study investigated differences in college grading practices (first-year grade point average and course grades) by student and institutional characteristics and by academic discipline to inform and improve our understanding and use as among the most commonly employed criteria in validity and college readiness research. In addition, trends in…
Descriptors: Higher Education, Grading, College Students, Student Characteristics
Liang, Jian-Hua; Heckman, Paul E.; Abedi, Jamal – Journal of Advanced Academics, 2018
This study examines the power of cognitive and noncognitive variables to predict students' performance in algebra. We investigated students' prior year's assessment scores and demographic characteristics to predict eighth-grade algebra scores. Using California statewide assessment data, we explored predictive factors in three regression models.…
Descriptors: Algebra, Grade 8, Predictor Variables, Prior Learning
Williams, Lindsey N. – ProQuest LLC, 2017
Postsecondary student performance has been studied in great detail by higher education systems and their stakeholders in attempts to identify what may contribute to increased rates of retention and degree completion. Research on predictors of postsecondary performance has focused significantly on the relationship between performance and…
Descriptors: College Students, Persistence, Academic Persistence, Academic Achievement
Bonnaig, Joy – ProQuest LLC, 2017
The purpose of this quantitative correlational research was to investigate to what extent 2007 performance of third grade students who had been retained in 2006 for failing to attain proficiency on the Reading and Mathematics Florida Comprehensive Assessment Test (FCAT) predicted their performance in 2010 on the sixth grade Reading and Mathematics…
Descriptors: Predictive Validity, Predictor Variables, Scores, Statistical Analysis
Storie, Gary; Denner, Peter R. – Current Issues in Education, 2015
In the fall of 2012, Idaho implemented a plan to award bonus pay to schools whose students demonstrated academic growth based on the Betebenner (2008) method. This study examined the relationship of the amount of bonus paid to a school, the percentage of students from low income families associated with a school, and the location of the school…
Descriptors: Scores, Merit Pay, Low Income Groups, Geographic Location
Takele, Silabat – Journal of Education and Practice, 2017
This is a predictive validity study which aimed at examining the validity strength of College Entrance Assessment (CEA) scores, EGSLCE (Ethiopian General School Leaving Certificate Examination) and High School Average Transcript (HSAT) in predicting college students' academic success as measured by first year CGPA. For this purpose, 2015 regular…
Descriptors: Validity, Scores, College Entrance Examinations, Multiple Regression Analysis
Capacity and Opportunity: Predicting Engagement for Middle School Students with Behavioral Disorders
Herron, Marsha Dempsey; Martin, Jim – Journal of Emotional and Behavioral Disorders, 2015
This study examined the capacity and opportunity scores of 36 middle school students with emotional and behavioral disorders (EBD) on the student version of the "American Institutes for Research (AIR) Self-Determination Scale" across three school engagement factors: grade point averages (GPA), school absences, and frequency of school…
Descriptors: Middle School Students, Emotional Disturbances, Behavior Disorders, Self Determination
Grissom, Jason A.; Kalogrides, Demetra; Loeb, Susanna – American Educational Research Journal, 2017
School performance pressures apply disproportionately to tested grades and subjects. Using longitudinal administrative data--including achievement data from untested grades--and teacher survey data from a large urban district, we examine schools' responses to those pressures in assigning teachers to high-stakes and low-stakes classrooms. We find…
Descriptors: Student Records, Academic Achievement, Teacher Surveys, Tests
Khan, R. Nazim – International Journal of Mathematical Education in Science and Technology, 2015
Open book assessment is not a new idea, but it does not seem to have gained ground in higher education. In particular, not much literature is available on open book examinations in mathematics and statistics in higher education. The objective of this paper is to investigate the appropriateness of open book assessments in a first-year business…
Descriptors: Evaluation Methods, Higher Education, Mathematics Tests, Statistics
Robertson, Mary Amos – ProQuest LLC, 2016
In order to change the direction of mathematics education, the training of elementary teachers in the United States needs to be of equal or higher quality than top preforming countries. However, pre-service elementary teachers in the United States fall behind their peers in other countries in mathematical content knowledge and mathematical…
Descriptors: Teacher Education Programs, Elementary School Teachers, Teacher Competencies, Teacher Qualifications
Goldhaber, Dan; Theobald, Roddy; Fumia, Danielle – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
We use panel data in Washington State to study the extent to which teacher assignments between fourth and eighth grade explain gaps between advantaged and disadvantaged students--as defined by underrepresented minority status (URM) and eligibility for free or reduced price lunch (FRL)--in their eighth grade math test scores and high school course…
Descriptors: Teacher Competencies, Correlation, Mathematics Tests, Scores
Behar-Horenstein, Linda S.; Hudson-Vassell, Michael; Hudson-Vassell, Charisse N.; Garvan, Cynthia W. – Multicultural Learning and Teaching, 2015
Using critical lenses, this study examined the predictive value added of curriculum-based assessment (CBA), with socio-demographic and educational variables on the mathematics portion of Florida Comprehensive Assessment Test (FCAT). Gender, race, socio-economic status, and exceptional student education (ESE) were compared in a de-identified post…
Descriptors: Achievement Tests, Standardized Tests, State Standards, Curriculum Based Assessment
Young, John W.; Klieger, David; Bochenek, Jennifer; Li, Chen; Cline, Fred – ETS Research Report Series, 2014
Scores from the "GRE"® revised General Test provide important information regarding the verbal and quantitative reasoning abilities and analytical writing skills of applicants to graduate programs. The validity and utility of these scores depend upon the degree to which the scores predict success in graduate and business school in…
Descriptors: Business Schools, Scores, Test Validity, College Entrance Examinations