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This workshop’s goal is to help faculty who want to establish a course (or alternate vehicle) for mentoring undergraduates with some computer science background to participate in K-12 teaching computer science in local schools with engaging pedagogy. The workshop leverages the experiences and lessons learned from ten semesters of the organizers leading a course that meets once a week on campus for mentoring to support the undergraduates’ field experience in local schools and libraries. The workshop will dive deep into logistics including how to establish and maintain strong teacher partnerships, establishing student-teacher matches and weekly field experience schedules, weekly in-class activities and assignments to support the field experience, weekly student reflective journal prompts, and surveys for formative evaluation. Participants will actively reflect on their own contexts with potential opportunities and challenges, and organizers will facilitate small group discussions of how to address the challenges, different models for different contexts, and how to get started. Participants should leave with a plan for next steps toward offering a mentored undergraduate field experience in teaching computer science and access to a community of faculty who are working to help to broaden participation in computer science in K-12 while providing opportunities for undergraduates to hone their communication and leadership skills, increase their self confidence, and participate in giving back to the community using their technical skills.
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This content will become publicly available on February 17, 2026
SportSense: Engaging youth in data science experience in in-school and out-of-school K-12 contexts
For the past several years, our team has been developing and implementing curriculum and tools for integrating sports in data science learning experiences. We have developed a collection of activities and tools that we are eager to share with the larger data science community. The purpose of this session is to give participants an opportunity to explore some of these tools and activities in community with other data science educators and learners. The workshop will also serve as a space to try designing some new activities and ideate future directions for this work within the specific contexts of each workshop participant. Hence, we propose this workshop as a set of resources and a community that might spur new ideas that participants can adapt and extend based on the goals, needs, and affordances of their respective contexts.
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- Award ID(s):
- 2047693
- PAR ID:
- 10593237
- Publisher / Repository:
- Data Science for Everyone
- Date Published:
- Format(s):
- Medium: X
- Location:
- San Antonio, Texas
- Sponsoring Org:
- National Science Foundation
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