Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
Descriptor
Author
| Brendli, Katherine | 1 |
| Bruno, Lauren | 1 |
| Cervato, Cinzia | 1 |
| Genschel, Ulrike | 1 |
| Gnilka, Philip | 1 |
| Kozachuk, Lindsay | 1 |
| Ogilvie, Craig A. | 1 |
| Sage, Andrew J. | 1 |
| Scott, LaRon A. | 1 |
| Vitullo, Vivian | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 1 |
| ACT Interest Inventory | 1 |
| Self Directed Search | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkScott, LaRon A.; Bruno, Lauren; Gnilka, Philip; Kozachuk, Lindsay; Brendli, Katherine; Vitullo, Vivian – Excelsior: Leadership in Teaching and Learning, 2021
Researchers have yet to examine the association of Holland personality profiles as it relates to special education teachers. In response to this need, we report the personality and vocational profiles (Holland Codes) of 134 special education teachers across a special education training program. The purpose of this paper is to summarize findings…
Descriptors: Comparative Analysis, Special Education Teachers, Personality, Profiles
Sage, Andrew J.; Cervato, Cinzia; Genschel, Ulrike; Ogilvie, Craig A. – Journal of College Student Retention: Research, Theory & Practice, 2021
Students are most likely to leave science, technology, engineering, and mathematics (STEM) majors during their first year of college. We developed an analytic approach using random forests to identify at-risk students. This method is deployable midway through the first semester and accounts for academic preparation, early engagement in university…
Descriptors: Majors (Students), Identification, Student Satisfaction, At Risk Students
