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Belonging in Computer Science: Strategies for Supporting Girls and Minorities

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Colorado Convention Center, 108/10/12

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Presenters

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Math & CS Teacher
Menlo School
@ztblick
Zach is a CS dude at Menlo School. He strives to help students become the best versions of themselves, and he hopes to be a small part of their story through motivational, fascinating, and equitable experiences in CS. He's an alumnus of Penn and Yale, a listener to everything from classical to kpop, and a Dodger fan living in Giants country. He writes about his work from time to time at blick.substack.com.
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Computer Science Teacher
Apple Distinguished Educator
@dkiang
Douglas Kiang has 30 years of teaching experience at all levels. He teaches computer science at Menlo School and served on the Development Committee for AP Computer Science Principles. Douglas co-authored Microsoft's Making with Micro:bit curriculum, as well as Apple's Develop in Swift curriculum. He received the NCWIT Educator Award for supporting young women’s interest in computing and information technology. He was Hawaii's nominee for the Presidential Award for Excellence in Mathematics and Science Teaching. Douglas holds an Ed.M from Harvard and an M.S. in Computer Science, and is an Apple Distinguished Educator.
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Upper School Computer Science Teacher
Menlo School
I transitioned into education after a few years in the software engineering industry - an environment with a clear lack of women and minorities. It was evident to me that the best way to see a change at this level was to create more inclusive and encouraging classroom environments led with meaningful curricula. I have since created a project-based advanced topics in computer science course focused on encouraging students to create applications that benefit their communities. This, alongside my leadership in the Women in Technology club, has enabled me to play a pivotal role in championing inclusivity within the field.

Session description

Discover six proven strategies for engaging and supporting girls and other underrepresented minorities in the computer science classroom. Learn how we de-emphasize grades and emphasize feedback along different competencies, and value all students' skills and backgrounds. Explore different ways to support students: TAs, office hours, events. Everyone belongs here!

Purpose & objective

We have attended many sessions on the topic of girls and STEM. What's often frustrating is these sessions are presented by researchers with little classroom experience who offer little help in adapting that research to the classroom, or the sessions are presented by teachers who have wonderful success stories but their conclusions are not generalizable because they are primarily anecdotal, not research-based.

We are computer science teachers with 40 years of teaching experience between us, at all grade levels. Nandhini Namasivayam came to Menlo with AI industry experience, teaches advanced topics, and advises Menlo's Women in Technology organization. In 2015 Douglas Kiang was honored by the National Center for Women in Technology (NCWIT) for his work supporting girls in computer science. Zachary Blickensderfer is a dynamic and popular teacher with training in implementing strategies for increasing diversity, equity, and inclusion at all levels. This will be a practical, useful workshop, not simply a research brief. We have taken what the research shows and developed actionable strategies that teachers can put into practice right away.

This will be a practical presentation that gets a lot of useful information out to teachers with resources they can use in the classroom right away. In this session, teachers will learn six strategies for recruiting and retaining girls and other minorities in computer science, and see real examples of these strategies in action. We will also introduce teachers to a research-based curricular model we developed that lowers perceived risk and increases students' willingness to try different solutions to a problem without being penalized. This approach has been proven to widen the appeal of coding and computer science to students of all backgrounds and genders.

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Outline

1. Introduction (5 min.) - quick audience survey via device
2. What is Belonging? (5 min.)
3. Six Strategies for Increasing Belonging
A. Seeing Others Who Look Like You Being Successful (5 min.)
- Role Models
- TA Support
B. Share Student Success (7 min.)
- Senior Posters
- Puzzle Day
- Share Fair
C. Reduce Competition (13 min.) - engage audience with a simple game
- Define competencies
- Feedback over grading
- Dashboards
D. Context over Tools (5 min.)
- Course Descriptions
- Global Goals
- Project-based
E. Provide Opportunities to Practice (10 min.)
- Daily Checks
- ChatGPT
F. Growth Mindset (5 min.) - audience goal-setting activity, discussion
- Affirmations
- Julia Evans cartoons
4. Conclusion (5 min.) - quick exit survey via device, share on-screen

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Supporting research

Holmes, S., Redmond, A., Thomas, J., & High, K. (2012). Girls Helping Girls: Assessing the Influence of College Student Mentors in an Afterschool Engineering Program. Mentoring & Tutoring: Partnership in Learning, 20(1), 137–150. http://doi.org/10.1080/13611267.2012.645604

This research details specific strategies that are effective with girls of color and those of low-income and immigrant families. We draw on these findings in our curricular approach.

Mosatche, H. S., Matloff-Nieves, S., Kekelis, L., & Lawner, E. K. (2013). Effective STEM Programs for Adolescent Girls: Three Approaches and Many Lessons Learned. Afterschool Matters.

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Session specifications

Topic:
Equity and inclusion
Grade level:
9-12
Skill level:
Beginner
Audience:
Curriculum/district specialists, Principals/head teachers, Teachers
Attendee devices:
Devices useful
Attendee device specification:
Smartphone: Android, iOS, Windows
Participant accounts, software and other materials:
We will provide QR codes for attendees to access our resources, so smartphones would be helpful.
Subject area:
Computer science
ISTE Standards:
For Educators:
Designer
  • Use technology to create, adapt and personalize learning experiences that foster independent learning and accommodate learner differences and needs.
  • Design authentic learning activities that align with content area standards and use digital tools and resources to maximize active, deep learning.