From the DMV Line to the Governor’s Office

Who Are You Becoming? AI, Identity, and Education with Sandra Jin

In this episode of Kinwise: AI Insights for Education Leaders, host Lydia Kumar sits down with Sandra Jin, Senior Director of Innovation and AI Strategy at Leading Educators. Sandra has spent nearly a decade designing professional learning grounded in three tenets: agency, advocacy, and belonging.  This conversation is about what it looks like to bring AI into schools in a way that honors what educators and students need, and Sandra's grounding question: who are you becoming through how you use AI? Key Takeaways for Education Leaders -Emotional weight is the starting point. When teachers resist AI, it's about expertise, identity, and the fear that what made them great is being taken away. Understanding what's underneath that reaction changes the entire conversation. -The VATT framework gives teachers a "why." Leading Educators uses a simple lens to help educators make technology decisions: is this AI use helping you do more, do better, or do new?  -One rural teacher's lesson shows what AI can actually do. A STEM teacher at Holbrook USD was worried AI would erode students' thinking. She designed a lesson where students had to defend a pulley system plan to a Gemini-built bot, evaluate the bot's response, and justify every revision.  -Rural districts are leading the way. In the RAISE Collaborative, having the superintendent, school leader, and teachers in the same room working on the same problem eliminated the buy-in struggle that slows larger systems down. Momentum that would take months elsewhere happened in weeks. -Data infrastructure is unglamorous but foundational. AI has become a mirror for the disorganized systems schools have patched together for years. The practical path forward: start where data is already clean, build something small, and expand from there.

From the DMV Line to the Governor’s Office

In this episode of Kinwise: AI Insights for Education Leaders, host Lydia Kumar sits down with the Pine Lakers,  Aankan Das, Gillian Keith, Prakyath Shankar, and Cooper Brown, second-place finishers in North Carolina's first-ever AI Solve-a-Thon and students at Pine Lake Preparatory School in Mooresville. What began as a resume builder turned into a real working app, real conversations with state officials, and a real shot at changing how North Carolinians experience the DMV. Key Takeaways for Education Leaders A real problem makes all the difference. Prakyath's frustrating four-hour DMV visit became the spark for the entire project. When students are solving problems they've actually lived, the motivation is built in. Vibe coding has a low floor and a high ceiling. The team started with Playlab because it was accessible, then leveled up to Base44 for more advanced development. The platform even guided them on which AI model to use for which task . Working with government is slow, but possible. As the only Solve-a-Thon team tackling a government agency, the Pine Lakers have had to think differently about implementation. Rather than waiting for a full rollout, they've been sharing code segments and ideas with DMV officials, letting their work shape a larger ongoing initiative. Blocking AI doesn't make students safer, but it does make cheating more appealing. As Gillian said: framing AI as the enemy just drives students toward unethical use.  The teacher who connects students to opportunities changes everything. Ms. Riley came up in nearly every answer. Her approach, independent thinking, creative project choice, mental check-ins, and a sharp eye for matching students to outside opportunities, is a model for what AI-integrated teaching can look like. These students are thinking about AI's future more clearly than most adults. From job displacement to data privacy to environmental concerns, the Pine Lakers arrived at nuanced, grounded perspectives.

We Put in the Work: The Byrd Brains on Solving Homelessness with AI

In this episode of Kinwise: AI Insights for Education Leaders, host Lydia Kumar sits down with three members of the Byrd Brains to learn about how they build the Jade Book.  Key Takeaways for Education Leaders -The most powerful solutions come from lived experience. Chris Butler experienced homelessness three times, including during COVID while sleeping in a car. That personal stake shaped how the Byrd Brains built the Jade Book. -AI hallucination is a real problem students can learn to solve. The team discovered their app was generating fake shelter listings and developed a systematic back-testing process to verify every resource before publishing.  -Collaboration across schools is possible. Chris attends a different school than his teammates and joined the team remotely through SparkNC. The team met in person for the first time only after making the top ten. Remote collaboration is a real-world skill students need to practice. -Students need more AI instructors, not just AI policies. Tremaine made the point directly: his school has one AI instructor, and that makes all the difference. Teachers who encourage AI use rather than ban it create entirely different learning environments. -When students are given real problems, they build real things. The Jade Book has already attracted interest from companies and organizations wanting to make it a real product.

Student-Built, Community-Tested: The AI App Connecting North Carolinians to Critical Resources

In this episode of Kinwise: AI Insights for Education Leaders, host Lydia Kumar sits down with Satviki and Anwita, the first-place winning team from the NC AI Solve-a-Thon, and their coach Nina Darnell, Spark Lab leader for Cabarrus County Schools. Together they built NC Connect Link, an AI-powered app that helps people across North Carolina find jobs, housing, food, healthcare, and legal aid in one place.  Key Takeaways for Education Leaders -They built for real people. Satviki and Anwita designed NC Connect Link for people who are stressed, in a hurry, and not necessarily comfortable with technology, adding natural language input, multilingual support, and typo handling based on real user feedback. -Customer discovery is a learnable skill. The team reached out to libraries, local organizations, school teachers, and administrators to test their app before the competition and kept iterating until the last minute based on what they heard. -AI was a teammate, not a shortcut. They used Claude and ChatGPT to debug code and think through problems. -Students don't have to wait to make a difference. As Satviki put it: "We don't have to wait until we're older to make a real difference. We can start whenever our curiosity begins." -The app is still growing. NC Connect Link has expanded from major urban cities to all of North Carolina, rural and urban, and the team is working toward an App Store and Google Play launch by end of summer.

NC’s AI Solve-a-Thon Proved Students Are Ready. Are We?

In this episode of Kinwise: AI Insights for Educators, host Lydia Kumar sits down with Vera Cubero and Matthew Mayo, the NC DPI leaders who designed and ran North Carolina's first-ever AI Solve-a-Thon. Together they built a statewide student competition where teams spent months identifying real community problems and building actual AI-powered solutions and what students produced exceeded every expectation. Key Takeaways for Education Leaders * The Solve-a-Thon was built around empathy. Students were asked to identify real problems in their communities. * AI literacy is the floor. While many schools are still debating whether to introduce AI, students are already building with it. The goal now is fluency: the discernment and human agency to use these tools responsibly. * Instructional redesign is no longer optional. If the end product is indistinguishable from what AI alone could produce, it's time to start evaluating the process. * When students are given real challenges, they exceed what we thought was possible. One student told his coach he had learned more in four months than in his entire school career.