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Showing 1 to 15 of 143 results Save | Export
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
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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
Jordan Rhodes – ProQuest LLC, 2024
This study explored the relationship between middle school and high school math course-taking patterns in Nebraska using statewide reported course-taking data from 2009 to 2021. Course-taking trajectories were evident starting in middle school and were then studied by considering school-level variables and student-level demographic variables.…
Descriptors: Middle School Students, High School Students, Course Selection (Students), Institutional Characteristics
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Haeryun Kim – Policy Futures in Education, 2025
This study explores how high school computer science (CS) course enrollment differs by student background through an intersectional lens. I use statewide data from North Carolina that contains longitudinal student-level background and course-taking information from 2005-2006 to the 2018-2019 school year and estimate linear probability models…
Descriptors: Computer Science Education, Course Selection (Students), High School Students, Intersectionality
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Daniela Castellanos-Reyes; Tom R. Leppard – International Journal of Educational Technology in Higher Education, 2025
Career choices are shaped by students' experiences, knowledge, and skill sets across time, reflecting not only disciplinary interests but also exposure to evolving fields such as data science (DSC). Despite a surge in interest and enrollment in data science degrees, the United States faces a growing demand for data literacy across multiple…
Descriptors: Active Learning, Student Projects, Electronic Learning, Enrollment
Hayes, Bo Jason – ProQuest LLC, 2023
One of the earliest indications that a student may be interested in STEM paths is the students' own self-efficacy for science as well as how they may see themselves in a STEM career as part of their science self-identity (Schlegel et al., 2019). Currently, there is a need to contribute to research that can assist agencies such as the National…
Descriptors: Self Efficacy, STEM Education, Self Concept, STEM Careers
Michael A. Carlino – ProQuest LLC, 2023
Nearly two thirds of students are not ready for college level work in mathematics as evidenced by the inability to succeed on standardized math placement tests. Unfortunately, this necessitates developmental coursework, which is not credit bearing, and ultimately makes these students significantly less likely to earn a college degree. This study…
Descriptors: Community College Students, College Readiness, Mathematics Achievement, Student Placement
Stephanie Owen; Derek Rury – Annenberg Institute for School Reform at Brown University, 2025
Implicit stereotypes about gender and STEM may unconsciously shape students' academic choices and contribute to gender gaps in major choice, but there is limited economic evidence on this channel. To study this relationship, we administer a gender-science Implicit Association Test (IAT) to a sample of primarily first-semester undergraduates, and…
Descriptors: Sex Stereotypes, STEM Education, Predictor Variables, Gender Differences
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
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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
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Christopher, Elise; Daniel, Bruce – National Center for Education Statistics, 2021
Taking at least one arts course in high school has been linked to higher school engagement as well as other positive cognitive, behavioral and social outcomes. Many states and local education agencies require arts credits for high school graduation. In 2013, 25 states required that high school students must have completed at least 0.5 credits in…
Descriptors: High School Students, Art Education, Course Selection (Students), Postsecondary Education
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Dai, Hai Min; Teo, Timothy; Rappa, Natasha Anne – Journal of Computer Assisted Learning, 2022
Background: Learners in a given massive open online course (MOOC) are usually provided with the same learning materials, guided by the same syllabus, and assessed in the same format. This "one-size-fits-all" approach constrains learners' ability to reap the optimal benefits from online learning. Objectives: This study aims to…
Descriptors: MOOCs, Student Characteristics, Gender Differences, Employment Level
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Tatlow, Stephen – British Journal of Music Education, 2023
A common conclusion drawn from publicly available Higher Education Statistics Agency (HESA) data releases is that Higher Music Education (HME) courses have a predominantly male population. However, HESA data has key issues when examining HME courses: which courses are reported as 'music' courses to HESA; how do universities decide which courses…
Descriptors: Foreign Countries, Higher Education, Music Education, Gender Differences
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Demulder, Lien; Verschueren, Karine; Lacante, Marlies; Donche, Vincent – European Journal of Psychology of Education, 2023
This study aims to better understand differences in the decision-making process behind study choices for higher education by investigating the presence of exploration profiles and then explore the explanatory base. To achieve this, we first identified different exploration profiles of students transitioning to higher education (n = 5660), and then…
Descriptors: Profiles, College Students, Student Characteristics, Outcomes of Education
Giana, Matt S. – American Enterprise Institute, 2019
Vocational education was once synonymous with tracking--the systematic funneling of low-income, underrepresented minority, limited English proficient, and low-achieving students into technical pathways with limited educational and economic benefit. But more recent research has found that students who concentrate in career and technical education…
Descriptors: Vocational Education, Student Characteristics, High School Graduates, Academic Achievement
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