NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Does not meet standards1
Showing 1 to 15 of 37 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ye, Rebecca; Chudnovskaya, Margarita; Nylander, Erik – Adult Education Quarterly: A Journal of Research and Theory, 2022
It is well established that participation in formal adult education varies by individual background characteristics. However, less attention has been paid to examining inequality in participation as a consequence of policy changes, such as educational expansion. This paper examines the process of tremendous expansion in Swedish Higher Vocational…
Descriptors: Foreign Countries, Vocational Education, Adult Vocational Education, Higher Education
Najib A. Mozahem – Sage Research Methods Cases, 2021
The internet has had a vast and pervasive effect on many industries. It has resulted in the creation of new industries and has overhauled the dynamics that governed existing industries. One of the most traditional industries that is now struggling to cope with the changes brought on by the internet is the industry of higher education. Students can…
Descriptors: Social Sciences, Electronic Learning, Learning Management Systems, Higher Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cahan, Sorel; Nirel, Ronit; Gamliel, Eyal – Higher Education Studies, 2018
Predictive validity considerations in selection dictate choice of the predictor with the highest predictive validity. Implementation of this principle in any specific selection process inevitably entails choice between imperfectly correlated alternative predictors, real or hypothetical, which are equivalent in terms of predictive validity. We show…
Descriptors: Predictor Variables, Higher Education, Predictive Validity, Correlation
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 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, Higher Education, Predictive Measurement, Models
Catalina Morales Lema – ProQuest LLC, 2024
In this dissertation, I use data from Chile to study the determinants of schooling trajectories. Chapters 1 and 2 focus on higher education, Chapter 3 on secondary education, and Chapter 4 on teachers. Chapter 1 explores the role of a socio-emotional ability, self-efficacy, in understanding why students with comparable qualifications transit…
Descriptors: Economics, Foreign Countries, Higher Education, Secondary Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mangiero, George A.; Kraten, Michael – American Journal of Business Education, 2017
Financial analysts generally create static formulas for the computation of NPV. When they do so, however, it is not readily apparent how sensitive the value of NPV is to changes in multiple interdependent and interrelated variables. It is the aim of this paper to analyze this variability by employing a dynamic, visually graphic presentation using…
Descriptors: Predictor Variables, Visual Aids, Computer Graphics, Business Administration Education
Peer reviewed Peer reviewed
Direct linkDirect link
Netz, Nicolai; Finger, Claudia – Sociology of Education, 2016
On the basis of theories of cultural reproduction and rational choice, we examine whether access to study-abroad opportunities is socially selective and whether this pattern changed during educational expansion. We test our hypotheses for Germany by combining student survey data and administrative data on higher education entry rates. We find that…
Descriptors: Foreign Countries, Higher Education, Equal Education, Study Abroad
Peer reviewed Peer reviewed
Direct linkDirect link
Chan, Tan Fung Ivan; Borja, Marianne; Welch, Brett; Batiuk, Mary Ellen – Journal of Information Technology Education: Research, 2016
Instructional technologies can be effective tools to foster student engagement, but university faculty may be reluctant to integrate innovative and evidence-based modern learning technologies into instruction. Based on Rogers' diffusion of innovation theory, this quantitative, nonexperimental, one-shot cross-sectional survey determined what…
Descriptors: Probability, Faculty, Higher Education, Audience Response Systems
Rupert, Lyle M. – ProQuest LLC, 2015
Due to the increasingly competitive environment in which liberal arts colleges operate and the constantly changing needs of students, colleges must continuously adapt and change in order to survive. Due to the high probability of failure when implementing change, it would serve an institution well to increase its readiness to change. This study…
Descriptors: Higher Education, Liberal Arts, Teacher Attitudes, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Stern, Jonathan M. B. – Community College Journal of Research and Practice, 2016
For more than a century, community colleges have provided a postsecondary education alternative to the traditional, 4-year university. Enrolling disproportionate numbers of both disadvantaged and nontraditional students, the community college sector has seen unparalleled gains in enrollment over the past few decades. Along with these increases in…
Descriptors: Community Colleges, Bachelors Degrees, Two Year Colleges, College Transfer Students
Peer reviewed Peer reviewed
Direct linkDirect link
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Xueli; McCready, Bo – Educational Researcher, 2013
Drawing upon the latest data from the Beginning Postsecondary Students Longitudinal Study (BPS:04/09) and the Postsecondary Education Transcript Data (PETS:09), this study employed propensity score matching and postmatching logistic regression to estimate the extent to which postsecondary coenrollment affects persistence and attainment of students…
Descriptors: Dual Enrollment, Higher Education, Community Colleges, Measures (Individuals)
Peer reviewed Peer reviewed
Direct linkDirect link
Calvert, Carol Elaine – Open Learning, 2014
This case study relates to distance learning students on open access courses. It demonstrates the use of predictive analytics to generate a model of the probabilities of success and retention at different points, or milestones, in a student journey. A core set of explanatory variables has been established and their varying relative importance at…
Descriptors: Academic Achievement, Distance Education, Open Education, Probability
Rush-Shumpert, Paula J. – ProQuest LLC, 2013
The purpose of this study was to understand why graduation rates of African American male students from four-year historically Black colleges and universities (HBCUs) within a six-year period were not on par with those of other races and ethnicities and, in particular, whether the reasons African American male students drop out rather than persist…
Descriptors: Correlation, Higher Education, African American Students, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Beck, Hall P.; Davidson, William B. – Journal of The First-Year Experience & Students in Transition, 2015
This investigation sought to determine when colleges should conduct assessments to identify first-year students at risk of dropping out. Thirty-five variables were used to predict the persistence of 2,024 first-year students from four universities in the southeastern United States. The predictors were subdivided into groups according to when they…
Descriptors: College Students, College Freshmen, Higher Education, School Holding Power
Previous Page | Next Page ยป
Pages: 1  |  2  |  3