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VerBruggen, Robert – Manhattan Institute for Policy Research, 2022
The Supreme Court has agreed to weigh in on the legality of racial preferences, in part thanks to a lawsuit against Harvard College alleging that the school discriminates against Asian-Americans. Proving discrimination at a specific school is an arduous task, requiring access to private, detailed admissions records--as the legal documents in that…
Descriptors: Asian American Students, Court Litigation, Racial Discrimination, Enrollment Trends
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Bunce, Diane M.; Komperda, Regis; Dillner, Debra K.; Lin, Shirley; Schroeder, Maria J.; Hartman, JudithAnn R. – Journal of Chemical Education, 2017
Students with an insufficient amount of time to study are becoming more prevalent in the general college population as many who enroll in college have competing responsibilities (full-time jobs, childcare, etc.). Such students are likely to choose study resources that they consider to be both effective and efficient. Students at the U.S. Naval…
Descriptors: Science Instruction, Chemistry, Study Habits, Study Skills
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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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Ye, Li; Oueini, Razanne; Dickerson, Austin P.; Lewis, Scott E. – Chemistry Education Research and Practice, 2015
This study used a series of text message inquiries sent to General Chemistry students asking: "Have you studied for General Chemistry I in the past 48 hours? If so, how did you study?" This method for collecting data is novel to chemistry education research so the first research goals were to investigate the feasibility of the technique…
Descriptors: Computer Mediated Communication, Telecommunications, Science Instruction, Chemistry
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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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Barnett, M.D.; Sonnert, G.; Sadler, P.M. – International Journal of Mathematical Education in Science and Technology, 2014
Relativizing the popular belief that student effort is the key to success, this article finds that effort in the most advanced mathematics course in US high schools is not consistently associated with college calculus performance. We distinguish two types of student effort: productive and ineffective efforts. Whereas the former carries the…
Descriptors: Calculus, Mathematics Achievement, Correlation, Advanced Courses
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Roszkowski, Michael J.; Nigro, Richard A. – Strategic Enrollment Management Quarterly, 2015
Admission to honors programs is competitive and typically relies heavily on the applicant's high school grades and SAT scores. Research shows that of the two criteria, the stronger predictor of performance in an honors curriculum is the high school record, which would imply that grades should receive the greater emphasis. We surveyed current…
Descriptors: College Entrance Examinations, Grade Point Average, High School Students, Scores
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Fauria, Renee M.; Fuller, Matthew B. – Research & Practice in Assessment, 2015
Researchers evaluated the effects of Educationally Purposeful Activities (EPAs) on transfer and nontransfer students' cumulative GPAs. Hierarchical, linear, and multiple regression models yielded seven statistically significant educationally purposeful items that influenced undergraduate student GPAs. Statistically significant positive EPAs for…
Descriptors: College Students, College Transfer Students, Grade Point Average, Regression (Statistics)
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Brint, Steven; Cantwell, Alison M. – Journal of College Student Development, 2014
We theorize 5 dimensions of academic disengagement based on students' values, motivations, study behaviors, academic interactions, and competing involvements. Using 2010 survey data from the University of California, we find support for this conceptualization. The size of disengaged populations varied between 5% and 25%, depending on the measure…
Descriptors: Student Surveys, Undergraduate Students, Measures (Individuals), Student Characteristics
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Murray, Christopher; Lombardi, Allison; Kosty, Derek – Journal of Diversity in Higher Education, 2014
The current investigation examines profiles of postsecondary adjustment among college students with disabilities. Students' self-perceptions of practical gains, personal gains, educational gains, their overall satisfaction with postsecondary school, and their college GPA were subjected to a latent profile analysis. Results indicated that students…
Descriptors: Disabilities, College Students, Profiles, Student Adjustment
Bender, David S.; Garner, Joanna K. – Online Submission, 2010
LASSI responses were combined with SAT and GPA information from 342 first year college students to examine relationships between study habits, motivation, gender and achievement. Gender pervasively influenced the results. Despite lower SAT scores, females attained higher first year college GPAs. LASSI [Learning and Study Skills Inventory]…
Descriptors: Grade Point Average, Measures (Individuals), College Entrance Examinations, Scores
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Crede, Marcus; Roch, Sylvia G.; Kieszczynka, Urszula M. – Review of Educational Research, 2010
A meta-analysis of the relationship between class attendance in college and college grades reveals that attendance has strong relationships with both class grades (k = 69, N = 21,195, p = 0.44) and GPA (k = 33, N = 9,243, p = 0.41). These relationships make class attendance a better predictor of college grades than any other known predictor of…
Descriptors: Study Habits, Grade Point Average, Attendance Patterns, Meta Analysis