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The TechEd Podcast

Matt Kirchner
The TechEd Podcast
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  • They Haven't Graduated Yet, but They're Already Tackling the Big Problems of 2045 - Duncan Kane, SVP at Toshiba
    In this episode of The TechEd Podcast, Duncan Kane, Senior Vice President at Toshiba America, shares insights from nearly two decades of working at the intersection of industry and education. Drawing from his leadership in STEM outreach, Duncan explains why Toshiba sees early STEM engagement not just as a good causeโ€”but as a strategic investment in the future of innovation and the workforce.One way Toshiba brings this vision to life is through its long-standing partnership with the National Science Teaching Association on ExploraVision, a science competition that challenges Kโ€“12 students to design technologies 20 years into the future. But as Duncan explains, the program isnโ€™t really about competitionโ€”itโ€™s about creativity, purpose, and helping students see themselves as future innovators. The conversation explores what happens when kids take ownership of real-world problems, the importance of dreaming big (with or without big budgets), and how industry can play a more active role in developing STEM talent.Listen to learn:Why students are more innovative when they donโ€™t know whatโ€™s โ€œimpossibleโ€How choosing personally meaningful problems changes how kids approach STEMWhat happens when students design technology for the year 2045Why Toshiba believes building a STEM pipeline starts in your own backyardWhat schools risk losing when STEM programs are first on the chopping block3 Big Takeaways from this Episode:1. Students come up with more creative solutions when they havenโ€™t yet learned whatโ€™s โ€œimpossible.โ€ Duncan explains that younger students are often more willing to dream big because they havenโ€™t developed the cynicism or constraints that come with adulthood. In ExploraVision, fifth graders have proposed ideas like AI-powered glasses that interpret sign language and wearable devices to predict seizuresโ€”solutions rooted in bold thinking, not technical limitations.2. When students choose problems that matter to them, STEM learning becomes personal and powerful. Many teams in ExploraVision choose issues theyโ€™ve encountered firsthand, like a relativeโ€™s epilepsy or local environmental concerns. That personal connection drives deeper engagement and creativity, whether itโ€™s robotic honeybees to help pollinate crops or fire-resistant materials inspired by mushrooms.3. Building a future STEM workforce doesnโ€™t require a billion-dollar initiativeโ€”it starts locally. Duncan urges companies to start in their own communities, supporting local students and educators in ways that feel personal and authentic. Toshibaโ€™s partnership with NSTA and the success of ExploraVision demonstrate how consistent, community-rooted efforts can scale to national impactโ€”reaching 450,000 students over 33 years.Resources in this Episode:To learn more about ExploraVision, visit: exploravision.orgExploraVision partner NSTA (National Science Teaching Association): nsta.orgAdditional resources from this episodeExploraVision Winners: See details on this yearโ€™s winners + previous yearsDiscover more from the We want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn
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  • Teaching in the Age of Distraction: Why Students Canโ€™t Focus โ€“ And What Educators Should Do About It - Dr. Gloria Mark, Author of Attention Span
    In a world of digital overload, short-form media, and AI-powered personalization, staying focused has never been harder. Today, the average attention span on any screen is just 47 seconds. What's causing this decline in focus, and what should educators do about it?Those are some of the questions we discuss with Dr. Gloria Mark, UC Irvine informatics professor and author of Attention Span: A Groundbreaking Way to Restore Balance, Happiness and Productivity.ย Dr. Mark explains the psychology behind attention, including the difference between controlled and automatic processing, the role of self-regulation, and how sleep debt, stress and individual cognitive rhythms factor into a student's ability to concentrate. She also points to a growing trend in education: designing classroom content to accommodate short attention spans, which may be unintentionally reinforcing them.The conversation also takes a timely turn into how AI toolsโ€”from TikTokโ€™s recommender systems to ChatGPTโ€”are changing the way students interact with information, and what that means for deep learning, retention, and even courage in the classroom.Listen to learn:Why shrinking attention spans arenโ€™t your faultโ€”and whatโ€™s really driving themHow schools may be unintentionally reinforcing short-form thinkingWhat AI and automation are doing to deep learning and reflectionThe hidden role of sleep, stress, and self-regulation in attention3 powerful strategies students can use to take back control of their focus3 Big Takeaways from this Episode:1. Short attention spans are not a personal failureโ€”theyโ€™re shaped by both individual traits and digital environments.Gloria distinguishes between controlled and automatic attention, noting that much of our behaviorโ€”like checking phones or clicking notificationsโ€”happens without conscious thought. These automatic habits are reinforced by our environment, particularly digital technologies that train us to switch rapidly and respond to constant stimuli.2. Classroom strategies that cater to short attention spans may be doing more harm than good.Gloria highlights a trend in education toward breaking lectures into smaller chunks or assigning only short passages instead of full books. While well-intentioned, these adaptations risk further weakening studentsโ€™ ability to engage in long-form content and develop deep, reflective thinking.3. AI tools like TikTok and ChatGPT are reshaping how students consume and process informationโ€”often at the cost of deeper learning.Platforms driven by recommender algorithms use random reinforcement to keep users engaged, conditioning them for rapid content consumption. In the classroom, reliance on generative AI can create a disconnect between students and the material, undermining โ€œdepth of processingโ€ and reducing the cognitive benefits of making mistakes.Resources in this Episode:Official website of Dr. Gloria MarkSee official show notes page for more resources!Connect with Dr. Gloria MarkFacebookย  |ย  We want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn
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  • Inside the Tour de France: Strategy, Technology, and the Science of the Worldโ€™s Toughest Race - Jason Gay, Sports Columnist at The Wall Street Journal
    What does the Tour de France have to do with STEM education? More than you might think.This week, host Matt Kirchner is joined by Wall Street Journal columnist and cycling expert Jason Gay to unpack the worldโ€™s most demanding sporting event: the Tour de France. They break down everything from team tactics to jersey competitions to the breathtaking drama expected in this yearโ€™s raceโ€”highlighting the fierce rivalry between defending champion Tadej Pogaฤar and two-time winner Jonas Vingegaard.Along the way, they explore the surprising connections between elite cycling and STEM education, from aerodynamics and power output to mechanical systems, race strategy, and nutrition science.Listen to learn:What makes the Tour de Franceโ€™s 21-stage race one of the most captivating competitions in global sportA preview of this yearโ€™s high-stakes showdown between two of cyclingโ€™s most dominant ridersHow the science of cycling connects directly to STEMโ€”physics, engineering, and human performanceThe advanced tech behind the race: radio comms, carbon fiber frames, power meters, and moreThe complex strategy and systems thinking behind every individual win3 Big Takeaways from this Episode:1. The Tour de France offers a powerful model for teaching systems thinking. Success on the course depends on how well teams work togetherโ€”each rider has a role, and strategy unfolds in real time. Educators can use the race to illustrate collaboration, logistics, and decision-making under pressure.2. Cycling gives students a real-world application of STEM principles. Every stage involves physics, data analysis, mechanical systems, and energy management. From gearing ratios to wattage tracking to aerodynamics, the race mirrors the technical concepts taught in STEM and CTE classrooms.3. This yearโ€™s race highlights how different approaches can lead to success. Pogaฤar races on instinct and momentum; Vingegaard relies on structure and consistency. Their contrast gives educators a chance to explore how mindset, preparation, and style impact outcomesโ€”even in high-tech, high-performance environments.Resources in this Episode:Official website of the Tour de FranceConnect with Jason GayFollow Jason on Xย  |ย  Read Jason's articles in The Wall Street JournalWe want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn
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  • "Open to Anything" = Hired for Nothing: Accelerate Your Career Search with Smarter Networking
    Submit your question for Ask Us Anything!Networking can be the best way to land your first (or next) big job, but are you going about it the wrong way?Too often, networking conversations end the same way: the other person says, โ€œIโ€™ll keep an eye out and let you know if I hear of anything that fits.โ€You nod, thank themโ€ฆ and never hear from them again.So what went wrongโ€”and more importantly, what can you do better?In this episode of The TechEd Podcast, Matt Kirchner breaks down why most job seekers leave networking meetings empty-handedโ€”and how to change that. The difference? Itโ€™s not about who you know. Itโ€™s about how you approach the conversation in the first place.Matt shares the exact mindset, questions, and preparation that turn a vague โ€œIโ€™m open to anythingโ€ into a powerful, productive dialogue that gets results. From clarifying your goals to building a smart list of target companies, this episode is packed with actionable strategies that help job seekers stand out and move forward.Whether youโ€™re entering the workforce or making a career pivot, these insights will help you land the right opportunityโ€”and if youโ€™re someone who supports job seekers, itโ€™s just as valuable for you.Listen to learn:Why being โ€œopen to anythingโ€ can actually limit your opportunitiesThe 3 questions to answer before every networking meetingHow to create a list of target companiesโ€”and why it works like magicA smarter way to ask for help that gets real follow-upEncouragement for staying persistent through rejection and uncertaintyWe want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn
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  • AI Engineering: The Emerging Field Poised to Secure Americaโ€™s AI Advantage - Pramod Khargonekar, ERVA Co-Principal Investigator and Vice Chancellor for Research at UC Irvine
    A new era is emerging where engineering drives AIโ€”and AI transforms engineeringThis week Matt Kirchner is joined by Dr. Pramod Khargonekarโ€”Vice Chancellor for Research at UC Irvine and lead author of the ERVA report AI Engineering: A Strategic Research Framework to Benefit Society. Dr. Khargonekar unpacks the emerging discipline of AI Engineering, where engineering principles make AI better, and AI makes engineered systems better.From robotics and energy systems to engineering education and data sharing, this episode dives into the flywheel effect of AI and engineering co-evolving. Pramod explains the real-world impact, the challenges ahead, and why this moment represents a generational opportunity for U.S. leadership in both innovation and education.Listen to learn:How AI is changing every branch of engineeringโ€”from mechanical to civil to industrial and beyond.Why manufacturing, energy, and transportation are ground zero for โ€œphysical AIโ€What the 14 Grand Challenges of AI Engineering reveal about the future of innovationWhy systems thinking is the key to building AI products that actually workHow colleges must rethink engineering educationโ€”and what industry can do to help3 Big Takeaways from this Episode:1. AI is transforming every branch of engineeringโ€”from design and simulation to manufacturing and operations. Pramod explains how fields like robotics, fluid mechanics, and materials science are being reshaped by tools such as reinforcement learning and foundation models. This shift isnโ€™t just about efficiencyโ€”itโ€™s enabling engineers to solve problems they couldnโ€™t approach before.2. Engineering will play a critical role in advancing the next generation of AI. Pramod highlights how engineering disciplines contribute essential elements like safety, reliability, power systems, and chip design to AI development. These contributions are vital to scaling AI into real-world, physical systemsโ€”what he calls โ€œphysical AI.โ€3. To lead in AI Engineering, higher education must integrate AI into every engineering discipline. Dr. Khargonekar outlines how universities can start with shared foundational courses, then build field-specific AI applications into majors like mechanical or electrical engineering. He also emphasizes the importance of short courses, professional development, and industry partnerships to support lifelong learning.Resources in this Episode:Read the ERVA report: AI Engineering | A Strategic Research Framework to Benefit SocietyLearn more about the work of the NSF Engineering Research Visioning Alliance (ERVA)Connect with ERVA on Social Media:Xย  |ย  LinkedInย  |ย  FacebookWe want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn
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About The TechEd Podcast

Bridging the gap between technical education & the workforce ๐ŸŽ™ Hosted by Matt Kirchner, each episode features conversations with leaders who are shaping, innovating and disrupting the future of the skilled workforce and how we inspire and train individuals toward those jobs. STEM, Career and Technical Education, and Engineering educators - this podcast is for you!Manufacturing and industrial employers - this podcast is for you, too!
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