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Bongani V. Mtshweni – Open Education Studies, 2024
Sense of belonging plays an essential role in the retention and success of distance learning students. This study investigated the influence of a sense of belonging on the intentions to drop out among black and white distance learning students at a university in South Africa. A total of 831 participants were surveyed and constituted the sample of…
Descriptors: Sense of Community, Prediction, Intention, Dropouts
Kay Perry Durbin – ProQuest LLC, 2021
This is a quantitative correlational study of the relationship between adolescent extracurricular activities and college persistence within a theoretical framework of Bandura's self-efficacy theory. The study utilized a sample of 2,300 participants from a 27-year national longitudinal study of adolescent health. The study found a significant…
Descriptors: Extracurricular Activities, Adolescents, Academic Persistence, Self Efficacy
Arcidiacono, Peter; Kinsler, Josh; Ransom, Tyler – National Bureau of Economic Research, 2020
Detecting racial discrimination using observational data is challenging because of the presence of unobservables that may be correlated with race. Using data made public in the SFFA v. Harvard case, we estimate discrimination in a setting where this concern is mitigated. Namely, we show that there is a substantial penalty against Asian Americans…
Descriptors: Racial Discrimination, Asian American Students, Court Litigation, College Admission
Lunn, Stephanie; Ross, Monique; Hazari, Zahra; Weiss, Mark Allen; Georgiopoulos, Michael; Christensen, Kenneth – ACM Transactions on Computing Education, 2022
Despite increasing demands for skilled workers within the technological domain, there is still a deficit in the number of graduates in computing fields (computer science, information technology, and computer engineering). Understanding the factors that contribute to students' motivation and persistence is critical to helping educators,…
Descriptors: Educational Experience, Prediction, Identification (Psychology), Computer Science Education
Jamiu Adekunle Idowu – International Journal of Artificial Intelligence in Education, 2024
This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…
Descriptors: Algorithms, Dropouts, Prediction, Academic Achievement
Blake, Mary Kate; Langenkamp, Amy G. – Research in Higher Education, 2022
Though Latinx students are going to college at an increasing rate, these students are still more likely to attend community college and less prestigious 4-year institutions than other groups. In an effort to understand this pattern, our study investigates how Latinx students prepare for college while in high school. We use nationally…
Descriptors: Racial Differences, Hispanic American Students, White Students, Student Behavior
Bird, Kelli A.; Castleman, Benjamin L.; Song, Yifeng; Mabel, Zachary – Education Next, 2021
An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…
Descriptors: Prediction, Models, Data Analysis, Community Colleges
Waheed, Shaikh Abdul; Khader, P. Sheik Abdul – SAGE Open, 2021
Earlier studies established the role of demographic and temperamental features (DTFs) in the adaptation of childhood stuttering. However, these studies have been short on examining the latent interrelationships among DTFs and not utilizing them in predicting this disorder. This research article endeavors to examine latent interrelationships among…
Descriptors: Stuttering, Individual Characteristics, Personality Traits, Demography
Sumbera, Becky Gail; Beck, Carmen; McIntyre, Miranda M.; Canelon, Jesus – International Journal of Adult Education and Technology, 2022
Currently, the literature provides some coherent evidence of what underrepresented minority (URM) students perceive they need to be successful, as well as what researchers empirically find important for URM student success. However, while success factors overlap with adoption factors, online course adoption is also affected by several important…
Descriptors: Disproportionate Representation, Minority Group Students, Online Courses, Student Attitudes
Ran, Florence Xiaotao; Bickerstaff, Susan; Edgecombe, Nikki – Community College Research Center, Teachers College, Columbia University, 2022
In a corequisite approach to developmental education, students enroll in a college-level course paired concurrently with a support course designed to address student learning needs in a given subject. This report, sponsored by Strong Start to Finish, examines early college outcomes of students placed into corequisite reading courses at the 13…
Descriptors: Academic Achievement, Required Courses, Remedial Reading, Remedial Programs
Brian Holzman; Jeehee Han; Kalena Cortes; Bethany Lewis; Irina Chukhray – Annenberg Institute for School Reform at Brown University, 2024
This study investigates the role of college major choices in labor market outcomes, with a focus on racial minorities and immigrants. Drawing upon research on school-to-work linkages, we examine two measures, linkage, the connection between college majors and specific occupations in the labor market, and match, the alignment of workers'…
Descriptors: Undergraduate Students, Majors (Students), Career Choice, Salary Wage Differentials
Yanagiura, Takeshi – Community College Review, 2023
Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…
Descriptors: Community Colleges, Community College Students, Educational Indicators, Outcomes of Education
Kelly Wiese Demerath – ProQuest LLC, 2021
Dual enrollment programming is a way in which high schools and colleges can form partnerships to further their shared interest in student success both in high school and college, perseverance to college enrollment and completion, and a way for students to experience the rigors and expectations of college while in the supportive environment of high…
Descriptors: Dual Enrollment, Career Readiness, College Readiness, Equal Education
Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
Johnson, Angela; Kuhfeld, Megan; King, Gregory – Educational Policy, 2022
This study identifies students' academic trajectories in the middle grades relative to a set of college readiness benchmarks. We apply math and reading college readiness benchmarks to rich longitudinal data for more than 360,000 students across the nation. Student-level and school-level demographic characteristics significantly predict academic…
Descriptors: Middle School Students, Academic Achievement, Benchmarking, College Readiness