WeTeach_CS Summit 2026

This study is an inquiry into both the potential educational benefits and the risks associated with the use of vibe coding, with a focus on novice (early college and dual credit (EC/DC) high school) programmers' ability to grasp core programming concepts, while also addressing the potential for misuse or unethical practices.

Data is everywhere — are your students ready? Join us to explore practical, engaging ways to bring data science into K-12 STEM classrooms. Experience hands-on activities, real-world datasets, and simple tools that build data literacy, critical thinking, and problem-solving skills. Leave inspired with resources and ready-to-use ideas you can implement tomorrow! Discover how data science can fuel inquiry, innovation, and real-world problem solving for K-12 students.

Many computer science teachers believe in the power of AI but feel unsure how to integrate it into instruction without losing clarity, rigor, or their own teaching voice. This interactive session introduces a classroom-tested, four-day instructional loop (Discover → Practice → Apply → Reflect) that provides a safe, repeatable structure for integrating AI into CS instruction. Participants will experience the loop as learners, explore how AI fits naturally within each phase, and build a mini lesson aligned to their own context. Attendees will leave with ready-to-use templates and strategies that help them confidently harness AI while preserving strong pedagogy and teacher identity.

AI is rapidly restructuring every job sector, from software engineering to marketing and healthcare. This dynamic panel brings together diverse industry professionals to pull back the curtain on this transformation, sharing firsthand how AI is changing their daily workflows and what skills are now critical for new hires. K-12 educators will gain actionable insight into the AI literacy, effective AI usage cases, critical thinking, and ethical reasoning competencies students need—regardless of their career path—to thrive in the AI-integrated workplace of tomorrow.

Design AI policies that celebrate student agency instead of assuming the worst. This practical workshop helps educators move beyond detection anxiety to proactive approaches honoring learner judgment and ethical reasoning. Participants will analyze effective policy models from schools nationwide, experience firsthand how students navigate AI tools, and draft context-specific policies that trust student brilliance. Leave with research-backed templates, communication resources, and confidence to lead conversations that celebrate students as capable, thoughtful collaborators with emerging technologies.

The emergence of AI fundamentally reshapes the landscape of computer science education. This session explores practical strategies for modifying existing CS courses to address the age of AI. We will discuss integrating AI literacy, updating curriculum to focus on new essential skills, and designing assessments that remain relevant. Join us to proactively prepare students for a future where AI is central to computing.