Trending In Ed with Mike Palmer
Trending In Ed with Mike Palmer
Palmer Media
Bringing an AI Fluency Program to Kids Globally with Dr. Taniya Mishra, CEO @ SureStart
46 minutes Posted Aug 14, 2026 at 9:00 am.
– Welcome & Introduction: Dr. Taniya Mishra and SureStart
– Taniya’s Journey: From PhD AI Researcher to EdTech Founder
– Overcoming "I'm Not a Tech Person" & Demystifying STEM
– The Core of SureStart: Near-Peer Mentorship in Action
– Keeping Up with Fast-Moving Trends & Vibe Coding
– The Layered Model: DIYers to AI Researchers
– Addressing "Cautious Clickers" & Creating Safe Failure Spaces
– Integrating AI Fluency into Busy K-12 Schedules
– Parallel Processing: Upskilling Teachers & Engaging Parents
– Responsible AI Frameworks & Verification Skills
– New Economy Skills: Data Literacy, Financial Literacy & Entrepreneurship
– Final Thoughts: Humans Plus AI
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Show notes
How do we move beyond baseline AI literacy to true AI fluency, agency, and self-efficacy for the next generation? In this episode of Trending in Education, host Mike Palmer sits down with Dr. Taniya Mishra, Founder and CEO of SureStart, to explore how hands-on, mentor-led AI education is empowering youth globally to shift from passive users to confident creators.
Drawing from her 12+ years as an industrial AI researcher, Dr. Mishra shares how SureStart demystifies technology through near-peer mentorship, modular curriculum, and a layered approach to AI learning—from middle school vocabulary to vibe coding and building small language models.
KEY INSIGHTS & DISCUSSION POINTS
💡 The Heart of SureStart—Near-Peer Mentorship: How pairing middle/high school students with near-peer mentors (graduate and undergraduate students) demystifies AI, creates psychological safety, and normalizes making mistakes as a core part of the coding process.
💡 A Layered Framework for AI Education: Understanding AI through a tiered mental model (DIYer, electrician, electrical engineer, researcher) to meet students where they are—building confidence through foundational vocabulary, conceptual clarity, and practical execution.
💡 Navigating Vibe Coding & Emergent Tech: Why rapid advancements like vibe coding require students to look beneath the surface code, balancing prompt engineering efficiency with direct coding precision.
💡 Overcoming "Cautious Clickers" & Risk Aversion: Strategies to build self-efficacy among underrepresented students by prioritizing representative role modeling (50%+ female mentors) and praising questions in the learning environment.
💡 Responsible AI Across the Curriculum: Why ethics should not be an isolated module, but woven throughout every project (e.g., addressing authorship and bias in generative tools) to cultivate critical evaluation skills.
💡 Operationalizing AI in K-12 Education: Integrating flexible, modular lessons (ranging from 15-hour blocks to 60-hour semester courses) into packed public school schedules through teacher training and district partnerships.
💡 New Economy Skills & Human + AI Synergy: Preparing youth for a changing workforce by pairing AI tools with core human competencies: critical reasoning, executive functioning, data literacy, financial literacy, and an entrepreneurial mindset.
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