AWE (Assessing Women in Engineering)
Purpose and History
AWE is the Assessing Women in Engineering Project, funded by NSF
(HRD 0120642) and designed to develop exportable assessment instruments,
literature resources, and methodologies for Women in Engineering
and similar programs. AWE Products are available through this site.
Check back often for new items.
AWE Products
AWE has developed tools to make your work more effective and less time consuming with exportable assessment instruments, a comprehensive database structure and literature resources.
Through this website you can:
- Download AWE survey instruments for
- Engineering self-efficacy
- Pre-college activities
- Mentoring activities
- Leaving engineering
- AWE ADAPT
- Exportable database to manage longitudinal data on participants, sponsors and activities.
- Understand issues and access references
- AWE Literature Overviews
- Annotated Bibliography
- Learn to use AWE Products through national or local workshops
The AWE Benchmarking Project
The AWE Benchmarking Project Website gathers information from leading Women in Engineering and other diversity programs and initiatives throughout the country to provide baseline data for the development of effective instruments for use by those programs and initiatives.
2004-05 Benchmarking will begin Fall 2005.
AWE Partner Institutions
AWE Products are developed, validated and tested through a seven institution coalition as part of a 3-year National Science Foundation (NSF) and Research on Gender in Science and Engineering (GSE) funded project.
AWE Partner institutions represent a broad spectrum of institutions including public and privates, large and small, and institutions with a range of ethnic diversity.
Institutions and partner directors or coordinators:
Rose Marra (Co-PI)
Assistant Professor of Learning Technologies
University of Missouri
Barbara Bogue (Co-PI)
Associate Professor of Engineering Science and Mechanics and Women in Engineering
Penn State University
Tricia Berry
Director of the Women in Engineering Program
The University of Texas at Austin
Brenda Hart
Director of Student Affairs
Speed School of Engineering
University of Louisville
Mimi Philobos
Director of Women in Engineering and Professor of Civil Engineering
Georgia Tech
Marie E. Reyes
Assistant Research Scientist
Southwest Institute for Research on Women
University of Arizona
Barbara Ruel
Director of Women in Engineering
Rensselaer Polytechnic Institute AWE Advisors
Jane Daniels, The Henry Luce Foundation
Clare Booth Luce Program
Cinda-Sue Davis
Director, Women in Science and Engineering Program
University of Michigan
Sheila Edwards Lange
Associate Director for Research, Center for Workforce Development
University of Washington
J.J. Jackson
Dean of Students
Vassar College
AWE Staff
Penn State:
Dana Hosko
AWE Project Coordinator
University of Missouri:
Demei Shen
AWE Programmer
Process
Participants who wish to take part in the AWE National Benchmarking
Project have to first register with
the AWE website. During registration, they can choose a username
and password, which will allow them to access the secured database.
Users will log on to the website using their username and password.
The database can be accessed once they have logged on to the
website.
Security
The database is on a secured server. Only authorized personnel
are able to view submitted information. Please read the detailed Privacy
Statement.
Site Access—Who
has access to this site and the information in the database?
All Registrants who register and upload their
data have access to their own institutional and registration
data in report form. At any time, registrants may make changes to their own report or remove their data from the database by contacting awe@engr.psu.edu. Benchmarking participants
must register before they can enter or modify their information
in the database. AWE registrants have access only to
their own data and do NOT have access to data from other institutions
except in aggregate form. All data are kept in a secure
server and will not be distributed in any way that identifies
specific institutional data.
Co-Principal Investigators (PIs) listed above
have the ability to search benchmarking registrants and reject
registrations that are not appropriate to the database.
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