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Chen Zong; Suzann M. Koller – Association for Institutional Research, 2025
Understanding the relationship between high-risk courses and Fall-to-Fall retention is essential to enhance student persistence and academic achievement in higher education institutions. The purpose of this study is to examine the relationship between high-risk courses and Fall-to-Fall retention of first-time, full-time students. The course data…
Descriptors: College Students, Course Selection (Students), Courses, Risk
Nergiz Ercil Cagiltay; Sacip Toker; Kursat Cagiltay – Open Praxis, 2024
Massive Open Online Courses (MOOCs) now offer a variety of options for everyone to obtain a high-quality education. The purpose of this study is to better understand the behaviours of MOOC learners and provide some insights for taking actions that benefit larger learner groups. Accordingly, 2,288,559 learners' behaviours on 174 MITx courses were…
Descriptors: MOOCs, Behavior Patterns, Gender Differences, Age Differences
Robert Krakehl – ProQuest LLC, 2021
This research is comprised of a three-part examination of equity, access, achievement, and learning in precollege physics. The first study examined teacher-level and school-level predictors of student performance in physics, with a focus on isolated teachers in New York during the 2016-17 academic year. Results indicated 40% of physics teachers…
Descriptors: Physics, Science Education, Predictor Variables, Science Achievement
Burhan Ogut; Darrick Yee; Ruhan Circi; Nevin Dizdari – Grantee Submission, 2023
Research shows that the intensity of high school course-taking is related to postsecondary outcomes. However, there are various approaches to measuring the intensity of students' course-taking. This study presents new measures of coursework intensity that rely on differing levels of quantity and quality of coursework. We used these new indices to…
Descriptors: Course Selection (Students), High School Students, Difficulty Level, Age Differences
Burhan Ogut; Darrick Yee; Ruhan Circi; Nevin Dizdari – Educational Measurement: Issues and Practice, 2023
Research shows that the intensity of high school course-taking is related to postsecondary outcomes. However, there are various approaches to measuring the intensity of students' course-taking. This study presents new measures of coursework intensity that rely on differing levels of quantity and quality of coursework. We used these new indices to…
Descriptors: Course Selection (Students), High School Students, Difficulty Level, Age Differences
Gilbert, Sherrie Alisa – ProQuest LLC, 2020
Student satisfaction is an important factor when analyzing online courses. Research has shown that student interactions in online courses are linked to overall satisfaction and success in their courses. However, student satisfaction in online courses at HBCUs has not been evaluated in great detail in relation to interactions. The researcher in…
Descriptors: Student Satisfaction, Online Courses, Black Colleges, Predictor Variables
Busher, Hugh; James, Nalita – Journal of Further and Higher Education, 2020
This article discusses the educational, social and economic backgrounds of Access to Higher Education (AHE) students and how these factors influence students' choice of courses and colleges in which to pursue their desire to enter higher education (HE) despite the risks involved and the initial lack of confidence of many of them in their…
Descriptors: Nontraditional Students, Access to Education, Higher Education, At Risk Students
Tatel, Corey E.; Lyndgaard, Sibley F.; Kanfer, Ruth; Melkers, Julia E. – Journal of Learning Analytics, 2022
As the demand for lifelong learning increases, many working adults have turned to online graduate education in order to update their skillsets and pursue advanced credentials. Simultaneously, the volume of data available to educators and scholars interested in online learning continues to rise. This study seeks to extend learning analytics…
Descriptors: Course Selection (Students), Enrollment Trends, Academic Achievement, Learning Analytics
Smith, Cathy – British Journal of Sociology of Education, 2020
This paper examines how young people account for choosing mathematical subjects, and how these processes sustain, or not, their continued participation. It draws on a 2-year qualitative study of 24 young people's accounts of following advanced mathematical pathways within a widening participation programme. Working within a post-structural…
Descriptors: Mathematics Instruction, Time, Social Influences, Age Differences
Grigal, Meg; Hart, Debra; Papay, Clare; Choiseul-Praslin, Belkis; Lazo, Rebecca – Institute for Community Inclusion, 2022
Think College Reports present descriptive data in narrative and tabular form to provide timely information to researchers, practitioners, and policymakers for review and use. This report provides program- and student-level data reported by TPSIDs (Transition and Postsecondary Programs for Students with Intellectual Disabilities) during the…
Descriptors: Program Content, Access to Education, Student Needs, Student Characteristics
Margaret Leighton; Jamin D. Speer – Annenberg Institute for School Reform at Brown University, 2023
Expected earnings matter for college major choices, and majors differ in both their average earnings and the age profile of their earnings. We show that students' family background is strongly related to the earnings paths of the major they choose. Students with more educated parents, especially those who have graduate degrees, choose majors with…
Descriptors: Undergraduate Students, Majors (Students), Course Selection (Students), Salary Wage Differentials
Crues, R. Wes; Bosch, Nigel; Anderson, Carolyn J.; Perry, Michelle; Bhat, Suma; Shaik, Najmuddin – International Educational Data Mining Society, 2018
The diversity in reasons that students have for enrolling in massive open online courses (MOOCs) is an often-overlooked aspect while modeling learners' behaviors in MOOCs. Using survey data from 11,202 students in five MOOCs spanning different academic disciplines, this study evaluates the reasons that students enrolled in MOOCs, using an…
Descriptors: Large Group Instruction, Online Courses, Enrollment, Student Attitudes
Grigal, Meg; Hart, Debra; Papay, Clare; Wu, Xiaoying; Lazo, Rebecca; Smith, Frank; Domin, Daria – Institute for Community Inclusion, 2021
Think College Reports present descriptive data in narrative or tabular form to provide timely information to researchers, practitioners, and policymakers for review and use. This report provides an overview of descriptive program and student-level data provided by Transition and Postsecondary Programs for Students with Intellectual Disabilities…
Descriptors: Program Content, Access to Education, Student Needs, Student Characteristics
Cheslock, John J.; Ford, Karly; Zhang, Liang; Dillon, Janet M. – Quarterly Review of Distance Education, 2018
A substantial share of students studying in a face-to-face setting supplement their coursework with online courses, yet we have a limited understanding of online course-taking behavior. This study advances knowledge in this domain by examining an administrative dataset from the Pennsylvania State University. The detailed nature of our data allows…
Descriptors: On Campus Students, College Students, Online Courses, Course Selection (Students)
Cerdà-Navarro, Antoni; Salvà-Mut, Francesca; Comas-Forgas, Rubén; Morey-López, Mercè – Research in Post-Compulsory Education, 2020
This article looks at the differences and similarities between Spanish-born and immigrant students enrolled in the first year of Intermediate Vocational Education (IVET) programmes in Spain. We analyse and compare their sociodemographic and academic backgrounds, their reasons for choosing IVET courses, their dropout intention and, finally, their…
Descriptors: Vocational Education, Foreign Countries, Immigrants, Student Characteristics

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