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Cardona, Tatiana; Cudney, Elizabeth A.; Hoerl, Roger; Snyder, Jennifer – Journal of College Student Retention: Research, Theory & Practice, 2023
This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…
Descriptors: Learning Analytics, Data Analysis, Prediction, Higher Education
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Ralph, Vanessa R.; Lewis, Scott E. – Chemistry Education Research and Practice, 2018
The identification of students at risk for academic failure in undergraduate chemistry courses has been heavily addressed in the literature. Arguably one of the strongest and most well-supported predictors of undergraduate success in chemistry is the mathematics portion of the SAT (SAT-M), a college-entrance, standardized test administered by the…
Descriptors: Undergraduate Students, At Risk Students, Chemistry, Difficulty Level
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Doug Lemov – Education Next, 2024
Grade inflation is causing student's hard work to be undervalued. As high grades get easier and easier to achieve, the highest grades can only go up so far. The difference between excellent and decent is compressed. Everybody wins is a system that guides and shapes the mindset of most American students--except a small number of kids who lose out…
Descriptors: Academic Achievement, Grade Inflation, Educational Environment, Academic Standards
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Vyas, Vijay S.; Kemp, Benedict; Reid, Scott A. – International Journal of Science Education, 2021
General chemistry are key gateway courses for many Science, Technology, Engineering, and Mathematics (STEM) majors. To improve student outcomes, it is critical both to identify at-risk students and implement evidence-based instructional strategies and interventions. These remain active areas of investigation, with recent literature showing that…
Descriptors: At Risk Students, Chemistry, Science Instruction, Outcomes of Education
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Ye, Li; Shuniak, Constantine; Oueini, Razanne; Robert, Jenay; Lewis, Scott – Chemistry Education Research and Practice, 2016
A well-established literature base identifies a portion of students enrolled in post-secondary General Chemistry as at-risk of failing the course based on incoming metrics. Learning about the experiences and factors that lead to this higher failure rate is essential toward improving retention in this course. This study examines the relationship…
Descriptors: At Risk Students, Chemistry, Science Achievement, Science Instruction
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Turner, Lauren A.; Angulo, A. J. – Harvard Educational Review, 2018
Lauren A. Turner and A. J. Angulo explore how institutional theory can be applied to explain variance in higher education organizational strategies. Given strong regulatory, normative, and cultural-cognitive pressures to conform, they ask, why do some colleges engage in high-risk decision making? To answer this, they bring together classic and…
Descriptors: Risk, Decision Making, Higher Education, Trend Analysis
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Thomas, Nathaniel S.; Barr, Peter B.; Hottell, Derek L.; Adkins, Amy E.; Dick, Danielle M. – Journal of College Student Development, 2021
Student attrition in higher education is a pervasive problem. In this analysis, we used a longitudinal sample of nearly 10,000 university students to examine the relative importance of social, behavioral, and interpersonal factors on student retention over time. Our findings show that increased depressive symptoms, antisocial behaviors, exposure…
Descriptors: Academic Persistence, Student Attrition, College Students, Social Influences
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Xu, Di; Solanki, Sabrina; McPartlan, Peter; Sato, Brian – Educational Researcher, 2018
Extensive theoretical literature and qualitative evidence nominate learning communities as a promising strategy to improve persistence and success among at-risk populations, such as students who are academically underprepared for college-level coursework. Yet rigorous quantitative evidence on the impacts of these programs is limited. This paper…
Descriptors: At Risk Students, Academic Persistence, STEM Education, Outcomes of Education
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Sun, Jerry Chih-Yuan; Oh, Youn Joo; Seli, Helena; Jung, Matthew – Journal of At-Risk Issues, 2017
The purpose of this study was to explore the motivational characteristics and learning behaviors affecting at-risk college students. To explore how motivation and learning behaviors are related to academic achievement, the relationships between (a) self-efficacy; (b) learning and study strategy indicators; and (c) academic outcomes were assessed.…
Descriptors: At Risk Students, Outcomes of Education, College Freshmen, Prediction
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Cornman, Stephen Quin – AERA Online Paper Repository, 2016
The question of whether increased funding pursuant to equity court decisions has improved the education of economically disadvantaged students sparks a lively and spirited debate. In the landmark case of "Abbott v. Burke," the New Jersey Supreme Court held that students in 28 "special needs" districts must receive the same…
Descriptors: Equal Education, Academic Achievement, Standardized Tests, Scores
Kansas Association of School Boards, 2014
Governor Sam Brownback has recommended the Kansas Legislature phase-in funding for full day kindergarten programs over the next five years. This proposal has also been adopted by the Kansas State Board of Education. Currently, all kindergarteners are counted as a half-time (0.5) student for funding purposes. About 87 percent of Kansas…
Descriptors: Kindergarten, Early Childhood Education, State Aid, Funding Formulas
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Shaw, Emily J.; Mattern, Krista D. – Educational Assessment, 2013
This study explores the value in using the difference between a student's predicted first-year grade point average (FYGPA), based on high school grade point average and SAT scores, and their observed FYGPA, namely, their FYGPA residual, as a tool in identifying those at risk for leaving an institution. Specifically, this study examined whether…
Descriptors: College Students, High Achievement, Low Achievement, Student Attrition
Ben Seipel; Patrick C. Kennedy; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison – Journal of Learning Disabilities, 2023
As access to higher education increases, it is important to monitor students with special needs to facilitate the provision of appropriate resources and support. Although metrics such as the "reading readiness" ACT (formerly American College Testing) of provide insight into how many students may need such resources, they do not specify…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Reading Tests, Reading Comprehension
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Kreiser, Ryan P.; Wright, Aidan K.; McKenzie, Tristan L.; Albright, J. Alex; Mowles, Eric D.; Hollows, Jared E.; Limbocker, Scott; Eslinger, Melissa; Limbocker, Ryan; Nguyen, Lam T. – Journal of Chemical Education, 2022
Quantitative metrics are widely employed to determine the probability of an applicant succeeding in a specific program of interest, ranging from undergraduate or graduate admissions to fellowships. The admissions office at the United States Military Academy at West Point uses an internal college entrance examination rank (CEER) assessment…
Descriptors: Prediction, Science Achievement, Chemistry, Undergraduate Students
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Hartman, Jenifer J.; Janssens, Radford; Hensberry, Karina K. R. – Education Leadership Review, 2020
Data-driven decision making is a critical leadership skill. This study describes how leadership at a four-year university used extant data to improve student outcomes. The University identified the high rate of first-time-in-college (FTIC) student withdrawal/failure in initial algebra courses as having a detrimental effect on other student success…
Descriptors: College Freshmen, Student Placement, College Mathematics, Leadership
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