The Department of Computer Science and Engineering and DO-IT IT (Disabilities, Opportunities, Internetworking and Technology) at the University of Washington propose to create the AccessComputing Alliance for the purpose of increasing the participation of people with disabilities in computing careers. Alliance partners Gallaudet University, Microsoft, the NSF Regional Alliances for Persons with Disabilities in STEM (hosted by the University of Southern Maine, New Mexico State University, and UW), and SIGACCESS of the Association for Computing Machinery (ACM) and collaborators represent stakeholders from education, industry, government, and professional organizations nationwide.
Alliance activities apply proven practices to support persons with disabilities within computing programs. To increase the number of students with disabilities who successfully pursue undergraduate and graduate degrees, the alliance will run college transition and bridge, tutoring, internship, and e-mentoring programs. To increase the capacity of postsecondary computing departments to fully include students with disabilities in coursers and programs, the alliance will form communities of practice, run capacity-building institutes, and develop systemic change indicators for computing departments. To create a nationwide resource to help students with disabilities pursue computing careers and computing educators and employers, professional organizations and other stakeholders to develop more inclusive programs and share effective practices, the alliance will create and maintain a searchable AccessComputing Knowledge Base of FAQs, case studies, and effective/promising practices.
These activities will build on existing alliances and resources in a comprehensive, integrated effort. They will create nationwide collaborations among individuals with disabilities, computing professionals, employers, disability providers, and professional organizations to explore the issues that contribute to the underrepresentation of persons with disabilities and to develop, apply and assess interventions. In addition, they will support local and regional efforts to recruit and retain students with disabilities into computing and assist them in institutionalizing and replicating their programs. The alliance will work with other Alliances and organizations that serve women and underrepresented minorities to make their programs accessible to students with disabilities. Finally they will collect and publish research and implementation data to enhance scientific and technological understanding of issues related to the inclusion of people with disabilities in computing.
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TEAM MEMBERS:
Richard LadnerLibby CohenSheryl BurgstahlerWilliam McCarthy
The Badges for College Credit project designs and researches: (1) a digital badge system that leads to college credit as the context for investigating how to integrate badges with learning programs; (2) how to assess learning associated with badges; and (3) how badges facilitate learning pathways and contribute to science identity formation. The project is one of the first efforts to develop a system to associate informal science learning with college credit. The project will partner with three regional informal science institutions, the Pacific Science Center, the Future of Flight, and the Seattle of Aquarium, that will facilitate activities for participants that are linked to informal science learning and earning badges. The project uses the iRemix platform, a social learning platform, as a delivery system to direct participants to materials, resources, and activities that support the learning goals of the project. Badges earned within the system can be exported to the Mozilla Open Badges platform. Participants can earn three types of badges, automatic (based on participation), community (based on contributions to building the online community), and skill (based on mastery of science and communication) badges. Using a learning ecologies framework, the project will investigate multiple influences on how and why youth participate in science learning and making decisions. Project research uses a qualitative and quantitative approach, including observations, interviews, case studies, surveys, and learning analytics data, and data analytics. Project evaluation will focus on the nature and function of the collaboration, and on the scale-up aspects of the innovation and expansion, by: (1) analyzing and documenting effective procedures,and optimal contexts for the dissemination of the model and (2) by analyzing the collaboration between informal science organizations and higher education.
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TEAM MEMBERS:
Carrie TzouKaren LennonAmanda GoertzGray Kochlar-Lindgren