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Event

Including students with disabilities in CS education: A webinar

Join Richard Ladner as he speaks to educators about accessible computer science!

Please join us next month for this webinar with Richard Ladner about accessibility in K-12 CS education. If you know others who would be interested in attending, please spread the word.

Including Students with Disabilities in CS Education
Monday, August 8, 2022
10-11 am Pacific/1-2 pm Eastern
Register via Zoom

About 8.7 million PreK-12 students in the US have a disability and are served under the Individuals with Disabilities Act or under Section 504 of the Rehabilitation Act.  These students have a number of barriers that prevent them from participating fully in CS education.  In this webinar we will discuss these barriers and how they can be removed to make CS education more accessible and welcoming to these students.  Resources including accessible programming environments universal design for learning pedagogies will be discussed.  The strategies presented in the webinar can be used in both pre-service and in-service CS education programs to supplement other diversity, equity, and inclusion parts of these programs. 

Richard Ladner is Professor Emeritus in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. After a long career in theoretical computer science research Dr. Ladner moved to the area of accessible computing research which is an important subarea of human-computer interaction (HCI). Over his career he has supervised or co-supervised 30 Ph.D. students. He is the PI for the NSF-funded AccessCSforAll that helps prepare K-12 teachers to include students with disabilities in their computing courses. He is also PI for the NSF-funded AccessComputing Alliance that works to increase the representation of people with disabilities in computing education and careers.

We plan to use automatic captions. To request sign language interpreters or CART captioning, email [email protected]

Brianna Blaser, Ph.D. (she/her)
University of Washington, DO-IT
Washington.edu/DOIT

206-221-4163 |  [email protected]

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