Attracting young minority women to engineering and science
Necessary characteristics for exemplary programs
Bibliographic Data
| ID | 20296704 |
|---|---|
| Authors | Rachelle S Heller (George Washington University), C Dianne Martin (0000-0001-5451-4910, George Washington University) |
| Year | 1994 |
| Volume | 37 |
| Issue | 1 |
| Pages | 8-12 |
| Publication date | 1994-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Education (JOURNAL) |
| Journal identifiers | ISSN: 0018-9359 • E-ISSN: 1557-9638 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/13.275199 |
| OpenAlex | W2139625751 |
| Language | EN |
| Citations received | 1 |
A national educational imperative has been issued to reverse the trend of declining numbers of students choosing to study engineering and science. Minority women are particularly underrepresented in engineering and science, but in order to reach this pool of talent, the special concerns that affect young minority women must be recognized and programs that deal with these concerns must be developed. One such program offered at The George Washington University (GW) and funded by the National Science Foundation (NSF) from 1989 through 1993, utilizes computer technology and cooperative learning in a university setting to interest young minority women in engineering and science careers. As a result of the success of the GW/NSF program, a two-day working conference of experts was convened to determine the characteristics of exemplary programs that focus on this population. Outcomes from the conference included a criteria checklist, a program planning and self-evaluation guide, and suggestions for a national clearinghouse of information about exemplary programs designed to attract young minority women to engineering and science. >
Checklist · Engineering education · Engineering ethics · Engineering management · George (robot) · Library science · Medical education · Political science · Population · Public relations · Science and engineering · Sociology · Underrepresented Minority · Women in science · Artificial Intelligence · Career Development and Diversity · Computer Science · Engineering · Engineering Education and Curriculum Development · Engineering Education and Pedagogy · Gender Studies · Medicine · Psychology
| Citations per year | 0.07 |
|---|---|
| Citation span | 2011 - 2011 (1) |
| Highly cited | No |