Publication Date
| In 2024 | 0 |
| Since 2023 | 0 |
| Since 2020 (last 5 years) | 0 |
| Since 2015 (last 10 years) | 3 |
| Since 2005 (last 20 years) | 3 |
Descriptor
Author
| Evans, Brent J. | 2 |
| Baker, Rachel B. | 1 |
| Bettinger, Eric | 1 |
| Dee, Thomas | 1 |
| Doss, Christopher | 1 |
| Loeb, Susanna | 1 |
| Taylor, Eric | 1 |
Publication Type
| Reports - Research | 3 |
| Numerical/Quantitative Data | 1 |
Education Level
| Higher Education | 3 |
| High Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
| California | 1 |
| United States | 1 |
| Virginia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textEvans, Brent J. – Stanford Center for Education Policy Analysis, 2018
Millions of high school students take Advanced Placement (AP) courses, which can provide college credit. Using nationally representative data, I identify a diverse set of higher education outcomes that are related to receipt of AP college credit. Institution fixed effects regression reduces bias associated with varying AP credit policies and…
Descriptors: College Students, College Credits, Advanced Placement Programs, Time to Degree
Bettinger, Eric; Doss, Christopher; Loeb, Susanna; Taylor, Eric – Stanford Center for Education Policy Analysis, 2015
Class size is a first-order consideration in the study of education production and education costs. How larger or smaller classes affect student outcomes is especially relevant to the growth and design of online classes. We study a field experiment in which college students were quasi-randomly assigned to either a large or a small class. All…
Descriptors: Class Size, College Students, Small Classes, Online Courses
Evans, Brent J.; Baker, Rachel B.; Dee, Thomas – Stanford Center for Education Policy Analysis, 2015
Using a unique dataset of 44 Massive Open Online Courses (MOOCs), this paper examines critical patterns of enrollment, engagement, persistence, and completion among students in online higher education. By leveraging fixed-effects specifications based on over 2.1 million student observations across more than 2,900 lectures, we analyze engagement,…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
