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Denisa Gándara; Hadis Anahideh; Matthew P. Ison; Lorenzo Picchiarini – AERA Open, 2024
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…
Descriptors: Algorithms, Social Bias, Minority Groups, Equal Education
Chaturapruek, Sorathan; Dalberg, Tobias; Thompson, Marissa E.; Giebel, Sonia; Harrison, Monique H.; Johari, Ramesh; Stevens, Mitchell L.; Kizilcec, Rene F. – AERA Open, 2021
Elective curriculums require undergraduates to choose from a large roster of courses for enrollment each term. It has proven difficult to characterize this fateful choice process because it remains largely unobserved. Using digital trace data to observe this process at scale at a private research university, together with qualitative student…
Descriptors: Undergraduate Students, College Curriculum, Elective Courses, Course Selection (Students)
Liu, Ran – AERA Open, 2021
This study examines disruptions to postsecondary education plans in the United States during the COVID-19 pandemic. Using nationally representative data from the U.S. Census Bureau's Household Pulse Survey from August 2020 through March 2021, we investigate the prevalence, forms, reasons, and disparities of education disruption across different…
Descriptors: Postsecondary Education, COVID-19, Pandemics, College Bound Students
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – AERA Open, 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, Identification, Two Year College Students, Community Colleges
Preeya P. Mbekeani; Daniel Koretz – AERA Open, 2024
Validity studies of college admissions tests have found that, on average, students who are Black or Hispanic earn lower freshman grade-point averages (FGPAs) than predicted by these test scores. This differential prediction is used as a measure of bias. These studies, however, conflate student and school characteristics. The differential…
Descriptors: African American Students, Hispanic American Students, Grade Point Average, Racial Differences
Blanco, Tyler D.; Floyd, Brian; Mitchell, Bruce E., II; Hughes, Rodney P. – AERA Open, 2022
The authors investigate coronavirus disease 2019 (COVID-19) risk factors, suitability of online instruction, politics, and institutions' finances as rationales guiding instructional delivery decisions for fall 2020, after COVID-19's emergence. Contributions include estimating multinomial logit regressions with mode of delivery as a categorical…
Descriptors: Responses, COVID-19, Pandemics, School Closing
Jones, Brett D.; Miyazaki, Yasuo; Li, Mengyun; Biscotte, Stephen – AERA Open, 2022
Student evaluations of teaching (SETs) are important at most colleges and universities. One purpose of this study was to determine the extent to which motivational climate was associated with SETs. Another purpose was to determine whether course ease was associated with SETs. Participants included 2,949 undergraduate students from 30 courses at a…
Descriptors: Student Motivation, Educational Environment, Prediction, Student Evaluation of Teacher Performance
Park, Elizabeth S.; Swanson, Elise – AERA Open, 2021
Using a randomized control trial design, this study examines the extent to which a comprehensive college transition program (CCTP) shapes students' time-use during their first 3 years in college. The CCTP provides comprehensive student-centered support as well as a generous scholarship. We compare students who had access to the CCTP with those who…
Descriptors: Time Management, Undergraduate Students, Grade Point Average, Transitional Programs
Binning, Kevin R.; Blatt, Lorraine R.; Chen, Susie; Votruba-Drzal, Elizabeth – AERA Open, 2021
The social experience of transitioning to a 4-year university varies widely among students. Some attend with few or no prior contacts or acquaintances from their hometown; others attend with a large network of high school alumni. Using a sample (N = 43,240) of undergraduates spanning 7.5 years at a public university, we examine what factors…
Descriptors: Friendship, Academic Achievement, Social Support Groups, Student Adjustment
Elise Swanson; Tatiana Melguizo; Paco Martorell – AERA Open, 2021
This article estimates the relationship between students' psychosocial and academic outcomes during their first 3 years enrolled at public, 4-year institutions. Our sample comprises students from low-income backgrounds who applied for a competitive scholarship and enrolled at a 4-year public institution. We follow two cohorts of entering students…
Descriptors: Outcomes of Education, Academic Achievement, College Students, Psychological Patterns
Lang, David; Wang, Alex; Dalal, Nathan; Paepcke, Andreas; Stevens, Mitchell L. – AERA Open, 2022
Committing to a major is a fateful step in an undergraduate education, yet the relationship between courses taken early in an academic career and ultimate major issuance remains little studied at scale. Using transcript data capturing the academic careers of 26,892 undergraduates enrolled at a private university between 2000 and 2020, we describe…
Descriptors: Undergraduate Students, Majors (Students), College Planning, Natural Language Processing
Holzer, Julia; Lüftenegger, Marko; Korlat, Selma; Pelikan, Elisabeth; Salmela-Aro, Katariina; Spiel, Christiane; Schober, Barbara – AERA Open, 2021
In the wake of COVID-19, university students have experienced fundamental changes of their learning and their lives as a whole. The present research identifies psychological characteristics associated with students' well-being in this situation. We investigated relations of basic psychological need satisfaction (experienced competence, autonomy,…
Descriptors: College Students, Student Needs, Competence, Predictor Variables
Wiggins, Benjamin L.; Eddy, Sarah L.; Grunspan, Daniel Z.; Crowe, Alison J. – AERA Open, 2017
STEM classrooms (science, technology, engineering, and mathematics) in postsecondary education are rapidly improved by the proper use of active learning techniques. These techniques occupy a descriptive spectrum that transcends passive teaching toward active, constructive, and, finally, interactive methods. While aspects of this framework have…
Descriptors: Active Learning, Predictor Variables, Achievement Gains, STEM Education
Koretz, Daniel; Yu, Carol; Mbekeani, Preeya P.; Langi, Meredith; Dhaliwal, Tasmin; Braslow, David – AERA Open, 2016
The current focus on assessing "college and career readiness" raises an empirical question: How do high school tests compare with college admissions tests in predicting performance in college? We explored this using data from the City University of New York and public colleges in Kentucky. These two systems differ in the choice of…
Descriptors: Predictor Variables, College Freshmen, Grade Point Average, College Entrance Examinations
Svoboda, Ryan C.; Rozek, Christopher S.; Hyde, Janet S.; Harackiewicz, Judith M.; Destin, Mesmin – AERA Open, 2016
High school students from lower-socioeconomic status (SES) backgrounds are less likely to enroll in advanced mathematics and science courses compared to students from higher-SES backgrounds. The current longitudinal study draws on identity-based and expectancy-value theories of motivation to explain the SES and mathematics and science…
Descriptors: Correlation, Educational Attainment, Parent Background, STEM Education