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Showing 1 to 15 of 260 results Save | Export
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Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
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Aom Perkash; Qaisar Shaheen; Robina Saleem; Furqan Rustam; Monica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Diez; Imran Ashraf – Education and Information Technologies, 2024
Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…
Descriptors: Academic Achievement, Colleges, Artificial Intelligence, Predictor Variables
Sahar Voghoei – ProQuest LLC, 2021
The importance of retention rate for higher education institutions has encouraged data analysts to present various methods to predict at-risk students. Their objective is to provide timely information that may enable educators to channel the most effective remedial treatments towards precisely targeted students in an efficient manner. The present…
Descriptors: Data Science, Academic Achievement, School Holding Power, Predictor Variables
Hoffman, Nancy; O'Connor, Anna; Mawhinney, Joanna – Jobs for the Future, 2022
The purpose of this brief is to provide school-level examples of how early college practitioners are collecting and using data to improve their practices. Examples three and four are school-level data from two early college partnerships: the MetroWest CPC (Framingham, Milford, Waltham), and Lawrence. The brief begins, however, with the national…
Descriptors: College School Cooperation, Partnerships in Education, High Schools, Universities
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
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Bowen, Bradley D.; Wilkins, Jesse L. M.; Ernst, Jeremy V. – Journal of STEM Education: Innovations and Research, 2019
The problematic persistence rates that many colleges and schools of engineering encounter has resulted in ongoing conversations about academic readiness, retention, and degree completion within engineering programs. Although a large research base exists about student preparedness in engineering, many studies report a wide variety of factors that…
Descriptors: At Risk Students, Engineering Education, Graduation Rate, College Students
Dan Goldhaber; Katherine Baird; Suvekshya Gautam – Center for Education Data & Research, 2024
In this paper we analyze the extent to which a mandated kindergarten assessment predicts 3rd grade outcomes, and the academic progression for students from 3rd grade to high school. We find that the kindergarten assessment strongly predicts 3rd grade outcomes, with the math skills assessment being especially predictive of 3rd grade academic…
Descriptors: Public Schools, Outcomes of Education, Academic Achievement, Achievement Gains
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Volchok, Edward – Community College Journal of Research and Practice, 2018
This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…
Descriptors: Community Colleges, Success, Blended Learning, Models
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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
Fuimaono, Wendell Iakopo – ProQuest LLC, 2017
Children growing up in a home with no father have become increasingly more common in the United States (U.S. Census Bureau, 2010). Consequences of absentee fathers include; increased chances of poverty and negative impacts on social, emotional, behavioral and educational outcomes. This study investigated whether a relationship exists between…
Descriptors: Fatherless Family, Correlation, Fathers, Dropouts
Rumberger, Russell W.; Losen, Daniel J. – Civil Rights Project - Proyecto Derechos Civiles, 2017
This California study focuses on the economic impact of school suspensions at the district level. Every 10th grade student in California was tracked for three years to determine the degree to which suspensions predicted lower graduation rates at the state and district level. This estimated impact on graduation was then used to calculate the…
Descriptors: Suspension, Grade 10, Predictor Variables, Graduation Rate
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Adelman, Melissa; Haimovich, Francisco; Ham, Andres; Vazquez, Emmanuel – Education Economics, 2018
School dropout is a growing concern across Latin America because of its negative social and economic consequences. Identifying who is likely to drop out, and therefore could be targeted for interventions, is a well-studied prediction problem in countries with strong administrative data. In this paper, we use new data in Guatemala and Honduras to…
Descriptors: Foreign Countries, Dropouts, At Risk Students, Identification
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Houchens, Gary; Niu, Chunling; Zhang, Jie; Miller, Stephen K.; Norman, Antony D. – NASSP Bulletin, 2018
The assistant principal plays a key role in school success but research suggests there are differences between principals and assistant principals in their perceptions of their roles. The 2011 Teaching, Empowering, Leading, and Learning Kentucky survey responses of educator perceptions were statistically analyzed for the statewide sample of…
Descriptors: Principals, Assistant Principals, Administrator Attitudes, Predictor Variables
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Papay, Clare; Grigal, Meg; Hart, Debra; Kwan, Ngai; Smith, Frank A. – Intellectual and Developmental Disabilities, 2018
Higher education programs for students with intellectual and developmental disabilities (IDD) offer opportunities to engage in college experiences including access to typical college courses. The purpose of the present study was to examine data from federally funded programs in order to describe and identify predictors of inclusive course…
Descriptors: Enrollment, College Freshmen, Intellectual Disability, Inclusion
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
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