Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 3 |
Descriptor
| Researchers | 3 |
| Engineering Education | 2 |
| Graduate Students | 2 |
| Higher Education | 2 |
| Postdoctoral Education | 2 |
| Science Education | 2 |
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| At Risk Students | 1 |
| Citizenship | 1 |
| Community Colleges | 1 |
| More ▼ | |
Author
| Alexander, Jeffrey M. | 1 |
| Arbeit, Caren A. | 1 |
| Benjamin L. Castleman | 1 |
| Davies, Christopher | 1 |
| Falkenheim, Jaquelina C. | 1 |
| Kelli A. Bird | 1 |
| Yamaner, Michael | 1 |
| Yifeng Song | 1 |
| Zachary Mabel | 1 |
Publication Type
| Numerical/Quantitative Data | 3 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Two Year Colleges | 1 |
Audience
Location
| Virginia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textFalkenheim, Jaquelina C.; Alexander, Jeffrey M. – National Science Foundation, 2023
This report presents an overview of research and development (R&D) in science and engineering (S&E) fields performed at institutions of higher education in the United States, including historical trends and recent patterns. The report first examines the financing and performance of R&D at universities based on patterns in funding and…
Descriptors: Research and Development, Science Education, Engineering Education, Higher Education
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
Davies, Christopher; Arbeit, Caren A.; Yamaner, Michael – National Science Foundation, 2022
The COVID-19 pandemic triggered considerable shifts in enrollment patterns for both U.S. citizens and permanent residents and temporary visa-holding graduate students within science, engineering, and health (SEH) fields during the fall 2020. After 3 years of relative stability, full-time enrollment of temporary visa holders in SEH master's…
Descriptors: Science Education, Engineering Education, Health Education, Graduate Study
