WeTeach_CS Summit 2026

This hands-on session celebrates student brilliance by empowering teachers to integrate AI-guided entrepreneurship into their curriculum. Participants will experience a research-based pedagogical platform that scaffolds high school students through business ideation, pitch development, and startup fundamentals using adaptive AI feedback (aligned with Vygotsky's zone of proximal development). Through interactive demonstrations and authentic learning activities, educators will explore how machine learning personalizes content, provides real-time formative feedback, and prepares students for competitions and real-world innovation. Attendees will gain practical strategies for implementing AI-powered tools that develop computational thinking, ethical technology use, and 21st-century entrepreneurial skills in their classrooms.

This session demonstrates how Python programming can be made more accessible for Emergent Bilingual students using AutoAuto AI. Participants will explore how AI-supported text-based coding scaffolds English comprehension, vocabulary, and syntax while supporting Python learning, helping educators create more inclusive and equitable computer science experiences.

AI can predict better than any human. It can't judge. It can't weigh trade-offs or decide if its own output is actually good. That's our job—and it's the job we should be teaching.
This hands-on session introduces a framework for teaching judgment alongside traditional CS skills. You'll learn to design activities where students make real decisions with real stakes, practice "context engineering" (coaching AI instead of prompting it), and apply "factory floor thinking" to redesign workflows rather than just speed them up. Walk out with activities you can use Monday.

As AI reshapes every industry, students need more than exposure—they need fluency. This session demonstrates how to teach core AI concepts through engaging, real-world labs in language, audio, and video, empowering students to build and think critically with AI.

In this hands-on session, participants will explore machine learning and AI through core concepts from the AI4GA curriculum. Educators will train a real-image classifier using Google’s Teachable Machine by collecting image data, building and testing a model, and iterating to improve accuracy. The session highlights classification, training data, model accuracy, and bias while celebrating student brilliance through creativity, collaboration, and iterative problem solving, helping all learners see themselves as capable AI thinkers and informed digital citizens.

ALIGN STEM Academy teacher will share their end-of-program artifacts as posters.

Artificial Intelligence and Machine Learning are already shaping how students learn across content areas. This hands-on session focuses on best practices for integrating AI/ML concepts into computer science and other classrooms, emphasizing computational thinking, ethical use, and student understanding over the use of tools alone. Participants will explore how machine learning systems are trained, identify sources of bias, and experience classroom-ready strategies that connect CS concepts to real-world applications in core subjects. Attendees will leave with practical frameworks, activities, and resources to confidently integrate AI across disciplines.