The TechEd Podcast

The labor market is evolving faster than traditional signals of competence can keep up. Roles are shifting, technology is accelerating, and employers are searching for clearer ways to identify real capability. In that environment, degrees remain valuable, but verified skills are becoming increasingly central to hiring and advancement.
In a marketplace now saturated with more than a million credentials, clarity has become the differentiator. Some credentials function as marketing tools. Others function as infrastructure for trust. The difference lies in independence, rigor, defensibility, and industry validation.
In this conversation with Kathleen McNally, CEO of NOCTI, we explore how high-quality third-party credentials create reliable signals for employers, meaningful exit value for learners, and actionable tools for educators. From ISO-backed certification standards to performance testing and stackable micro-credentials, this episode reframes credentials as essential infrastructure for a more agile, skills-driven economy.
In this Episode:
Why employers are shifting from degree-first to skills-aware hiring
What separates a participation badge from a legally defensible certification
How micro-credentials create flexibility without sacrificing rigor
How “exit value” changes the way we think about graduation
Why performance-based assessment strengthens workforce confidence
3 Big Takeaways
1. Verified credentials are strengthening the signal in a fast-moving labor market. As job roles evolve more quickly than traditional degree cycles, employers are seeking precise indicators of job-ready capability. Third-party certifications developed with national industry input provide measurable proof of occupational and technical competency.
2. Quality and independence determine whether a credential carries real weight. With more than a million credentials available, rigor is what separates noise from trust. ISO-aligned, legally defensible certifications built through independent subject matter experts reduce hiring risk and create consistency across regions and employers.
3. Micro-credentials are enabling lifelong learning with structure and momentum. Stackable certifications allow learners to document specific competencies at any stage of their career. Whether entering the workforce, reskilling mid-career, or adding new capabilities such as AI literacy, credentials create flexible on-ramps and sustained pathways for advancemen
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Over the past several years, many leaders have noticed a subtle but meaningful shift inside their organizations: the erosion of basic workplace courtesies, particularly from younger employees new to the professional workplace. Not misconduct; not ethical lapses. But something more subtle. Employees announcing time off instead of requesting it. Cameras off in meetings. Missed meetings treated casually. Messages left unanswered for a day or more. Delegating up.
Matt Kirchner addresses these patterns directly, sharing firsthand stories from his own companies and examining what has changed in professional norms, and why.
This is not a critique of younger employees. We're all for promoting emerging leaders and believe early-career professionals bring energy, ambition, and a willingness to attempt what others might dismiss. But many of these individuals also entered the workforce after losing formative years of in-person education, internships, and social development during COVID-era isolation. As a result, expectations that once felt intuitive often now require explicit instruction.
This episode explores specific areas where standards are slipping and explains how organizations can reestablish expectations without embarrassment or blame. Matt closes with a practical framework for addressing unprofessional behavior consistently and constructively, with the goal of strengthening culture rather than policing it.
Listen to Learn:
The workplace behaviors that are quietly reshaping organizational culture
How pandemic disruptions affected professional social development
Why virtual meeting norms have outsized cultural impact
What “delegating up” reveals about accountability and ownership
A structured approach for restoring workplace standards without alienating newer employees
Resources in this Episode:
Read the article in Products Finishing: "Relearning Common Courtesies in the Workplace"
Follow Matt on LinkedIn
View more resources on the episode page!

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Imagine giving middle and high school students a full week to explore careers without grades, homework, or “regular” classes. That’s the core idea behind Camanche Community School District's J-term: a dedicated pause in the academic grind that turns school into a career-exploration lab, where 5th-12th grade students can test-drive career fields, build confidence, and discover options they didn’t even know existed. 
That's right: J-term is no longer only reserved for the college experience.
What makes this model so compelling is the way it engages students & teachers in a way that the traditional classroom never could. Middle and High School Principals Melissa Phillips and Josh Davis saw higher engagement and clearer direction in this real-world, hands-on week of learning. You see it in the outcomes and reactions: the high school generated 100+ internships, the middle school reported zero office referrals that week, attendance hit a high-water mark, and the community showed up in force.
In this episode:
Why a “no grades, no homework” week can reveal a different version of students and teachers.
How J-term creates equity in exposure by removing barriers families can’t always overcome on their own. 
Why employers and community partners are more likely to say “yes” to short, high-impact experiences than longer commitments. 
How a J-term can reshape course choices and future plans, helping students move from “I don’t know” to a real next step. 
3 Big Takeaways from this Episode:
1. A grades-free, hands-on week can encourage a different level of student engagement. At the middle school, they saw zero office referrals and “not one student” sent down for behavior during J-term. The deeper lesson is that when the goal shifts from performance to exploration, more students lean in because the experience finally matches how they learn best. 
2. J-term is an equity play because it reduces the “who you know” advantage. The high school framed it explicitly as removing barriers for families who “don’t have the means” or the pathway to get students these opportunities on their own. Guardrails like requiring internships not be at a student’s current job help ensure the week is about new exposure, not just extending what already exists. 
3. Short, real-world exposure can change trajectories faster than a semester of coursework. One student had such a strong internship experience that she reworked her schedule to keep going back, and it shifted her likely postsecondary plan toward education. The big insight is that a one-week “test drive” creates clarity either way, helping students confirm a direction or rule one out while the stakes are still low. 
Resources in this Episode:
Read about Camanche CSD's J-Term week
Visit Camanche CSD
See more on the episode page!
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Your organization doesn’t have a data problem. It has an intelligence problem: the gap between having information and being able to act on it with speed, clarity, and confidence. That gap shows up everywhere: hospitals, schools, manufacturers, and any team drowning in dashboards while leaders still wait on someone to “find the story.”
Rick Anderson (Chairman & CEO, The Hive Health) is back to show just how much AI has impacted one organization in 12 months. Enter Corby Furrer (Harvard AI fellow, builder since college) and Will Furrer (former NFL quarterback turned COO). Together, they've built what they call a "trade intelligence platform" - not another analytics tool, but a system that encodes economic expectations, reconciles them against purchasing reality in real-time, and tells people exactly what action to take when behavior drifts off course.
Intelligence isn't about regression models anymore. It's about knowing what "good looks like," verifying AI assumptions through human-in-the-loop, and translating observations into stories that change behavior when delivered by the people who speak the right language (physician to physician, engineer to engineer, teacher to teacher, not consultant to administrator). Sustainable change requires three legs: understanding the rules of the game, seeing what's actually happening (not what's supposed to happen), and coaching insights through stakeholders who can shift behavior.
AI scales when it creates shared clarity people can validate and act on repeatedly, not when it generates reports that collect dust behind the CEO's desk.
In this episode:
Why your organization can have endless dashboards and still lack decision-grade intelligence. 
What must be true for leaders to trust AI results enough to act on them. 
How a data observation becomes a story for the change agent that actually drives behavior change. 
How coding and product building changes when AI can generate code, and why knowing “what good looks like” matters.
Why one-time improvements fade, and what it takes to build a repeatable system.
3 Big Takeaways from this Episode:
1. Decision-grade intelligence starts with clear expectations and a next action. The bridge from data to intelligence = what should happen, reconciling it against what is happening, and using that gap to drive the next corrective step. The takeaway is widely applicable: if you cannot state the intended economic or operational outcome, you cannot reliably diagnose variance or drive consistent performance.
2. If the improvement is not repeatable, it is not a solution. Build a system that codifies the work, monitors performance against targets, and keeps savings from reverting once the project ends. The real value in AI projects is durable behavior change and ongoing detection of the next opportunity, not a one-time finding.
3. Insights only matter when they are delivered to the change agent as a story that drives action. A data observation has to become a narrative that the person who can change the behavior will actually respond to. In the AI era, that elevates a specific skill stack: storytelling, curiosity, and building, because trust and adoption live or die in communication and execution, not in the existence of a model. 
Links & resources
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The U.S. Department of the Interior manages the nation’s most consequential assets—public lands and waters, energy resources, and critical minerals—making it a crucial center for AI capabilities, national security, and workforce opportunity.
In this episode of The TechEd Podcast, host Matt Kirchner sits down with Doug Burgum, U.S. Secretary of the Interior, to connect the dots between Interior's responsibilities and the next generation of innovation in the U.S. Today, Interior manages 500 million acres of public land, plus subsurface and undersea resources, territories, and the nation’s historic sites, national parks, Fish & Wildlife, and offshore energy footprint.
All of those resources are tied to America's opportunity to innovate in areas like artificial intelligence. Secretary Burgum frames AI data centers as “intelligence factories”, industrial-scale facilities that convert electricity into intelligence, and argues the next wave of competitiveness will be decided by scalable energy and the materials supply chain behind it.
We get into rare earth minerals, nuclear power, the tech and energy race with China, and the opportunities for today's students to pursue cutting-edge careers.
The episode also widens the lens to the country’s long-term innovation narrative. Burgum ties today’s tech inflection point to America 250 and the Theodore Roosevelt Presidential Library—a reminder that public lands, history, and national ambition can be part of how we inspire the next generation to build.
In this episode:
The shift from AI as software to AI as physical infrastructure — and why land, power, and materials suddenly matter
Why data centers are becoming “intelligence factories” — and what that changes about how AI scales
The truth about rare earth minerals — (why they aren’t actually "rare") and why processing is the real bottleneck
The nuclear energy race with China — and why speed, not discovery, is the deciding factor
Where the real career opportunities are emerging — far beyond software, deep into energy, minerals, and infrastructure
Resources in this Episode:
Visit the U.S. Department of the Interior
More resources from this episode:
Bureau of Indian Education
Theodore Roosevelt Presidential Library
More notes & resources on the episode page! https://techedpodcast.com/burgum2

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