Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
Source
| IEEE Transactions on Education | 2 |
Author
| Cox, G. W. | 1 |
| Etzkorn, L. H. | 1 |
| Hughes, W. E., Jr. | 1 |
| Layton, Richard A. | 1 |
| Lord, Susan M. | 1 |
| Ohland, Matthew W. | 1 |
| Weisskopf, M. E. | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 1 |
Audience
Location
| Alabama | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLord, Susan M.; Layton, Richard A.; Ohland, Matthew W. – IEEE Transactions on Education, 2015
Electrical Engineering (EE) and Computer Engineering (CpE) programs have similar curricula, but different demographics and student outcomes. This paper extends earlier longitudinal studies to a larger and more diverse dataset with 90,000 first-time-in-college and 26,000 transfer students who majored in engineering at USA institutions, including…
Descriptors: Engineering Education, Computer Science Education, Outcomes of Education, Majors (Students)
Cox, G. W.; Hughes, W. E., Jr.; Etzkorn, L. H.; Weisskopf, M. E. – IEEE Transactions on Education, 2009
This paper presents the results of an analysis of indicators that can be used to predict whether a student will succeed in a Computer Science Ph.D. program. The analysis was conducted by studying the records of 75 students who have been in the Computer Science Ph.D. program of the University of Alabama in Huntsville. Seventy-seven variables were…
Descriptors: Case Studies, Prediction, Computer Science Education, Doctoral Degrees
