Podcast
Educast 3000
Hosted by InstructureCast · EN
Ah, education…a world filled with mysterious marvels. From K12 to Higher Ed, educational change and innovation are everywhere. And with that comes a few lessons, too.
Each episode, EduCast3000 hosts, Melissa Loble and Ryan Lufkin, will break down the fourth wall and reflect on what’s happening in education – the good, the bad, and, in some cases, the just plain chaotic. This is the most transformative time in the history of education, so if you’re passionate about the educational system and want some timely and honest commentary on what’s happening in the industry, this is your show.
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11episodes
Episodes
Newest firstAll episodes
Lost in Translation: Getting Employers and Educators to Speak the Same Language
1w ago00:35:06Tap to summarizeWhat makes a skill count, and how does it travel from a classroom or a kitchen table into a job? Ryan Lufkin puts that question to Glenda Quintini, who runs the OECD's Skills and Future Readiness Division in Paris, with Simone Ravaioli sitting in for Melissa. Glenda's answer starts with a confession: a few months ago she couldn't tell critical minerals from rare earths, taught herself by reading and talking to people, and never enrolled in anything. That's how most adults actually learn, and almost none of it shows up on a resume.The conversation works through what it takes to fix that. Degrees aren't dead, Glenda argues, they're bundles of skills nobody has unpacked. The harder problem is language: employers and educators describe the same skills in completely different words, a gap she says blocks worker mobility as much as visa rules do. From there the three of them get into micro-credentials, individual learning accounts, the data behind dropped degree requirements, and why governments have to move faster than a two-year accreditation cycle.In this episode:Why eliminating degree requirements barely moves non-degree hiring on its own The difference between regulating credentials like New Zealand and letting the market sort it outWhy the next 15 years will be about lifelong recognition, not just lifelong learningFor further reading: A Skills-First Labour Market
Transcribe →Catch Me If You Can: Why This Biology Professor's AI Tutors Lie on Purpose
3w ago00:40:11Tap to summarize"Hallucinations are not a bug in my classroom. They are the assignment." That's Giorgio Lagna's framing for one of the 13 AI tutors he's built into his biology course at Santa Clara University. In this episode of Educast 3000, the UCSF research scientist and college lecturer joins Ryan Lufkin and Zach Pendleton to walk through what happens when you design AI not to answer questions but to refuse them, not to be right but to argue back. The conversation covers his "Crucible" course design, the DISCO framework research he published this year showing measurable equity outcomes, and why he believes higher ed is making a strategic mistake by treating AI as an integrity problem instead of an assessment problem.In this episode:Toll booth gems, boss battle gems, and certification gems explainedWhy deliberate AI errors teach better AI literacy than warnings about hallucinationsThe cost math on AI-powered oral exams (NYU's run came to 42 cents per student)How community college students are now running CRISPR research with AI co-investigatorsWhat Pope Leo XIV's first encyclical said about AI and education the day before this recordingPedagogy Under the Microscope: https://substack.com/@glagnaStructured AI Integration for Equitable STEM Writing: A Pilot Study of the DISCO Framework: https://www.tandfonline.com/doi/abs/10.1080/0047231X.2026.2625111UCSF profile: https://profiles.ucsf.edu/giorgio.lagnaFurther readingPope Leo’s ‘Magnifica humanitas’: AI must serve humanity not concentrate power: https://www.vaticannews.va/en/pope/news/2026-05/pope-leo-xiv-encyclical-magnifica-humanitas-ai.html
Transcribe →Everything Everywhere All at Once: Making Sense of Data Overload in Education
May 1900:25:33Tap to summarizeWhat does it actually mean to be "evidence-based"? Melissa Loble and Ryan Lufkin sit down with Mary Styers, Director of Evidence and Learning Strategy at Instructure, to find out. With 20 years in program evaluation, Mary breaks down why education's relationship with data is broken and what it takes to fix it.The conversation covers why rigorous research means nothing if teachers aren't on board, how compliance-driven data cultures stifle real learning, and why a study with only positive results should raise red flags, not applause.Mary also tackles the paradox of data overload: institutions have more data than ever and still can't act on it. Her answer? Start with one question. Work backward. Build psychological safety. And treat evidence as a journey, not a finish line.Key topics:Why teacher buy-in matters as much as research rigorThe difference between a compliance culture and a true culture of evidenceEvidence literacy — what it is and why we're failing to build itHow rapid cycle evaluation helps institutions iterate fast and learn fasterPractical first steps for leaders who want to make evidence-driven decisions
Transcribe →The AI-list: A Clips Episode on AI Across the Classroom
May 500:33:12Tap to summarizeIn this special clips episode of Educast 3000, hosts Ryan Lufkin and Melissa Loble revisit some of the sharpest conversations on artificial intelligence from recent episodes. Featuring highlights from chats with Sanjay Srivastava (CEO of Vocareum), Joe Potvin (Simmons University and Cengage), Kelly Shiohira (Global Science of Learning Education Network), Matt Winters, (AI Education Specialist at the Utah State Board of Education), and Dr. Joseph Youngblood II (Chancellor of Kean Global), this episode pulls together four distinct perspectives on how AI is reshaping teaching, learning, and the institutions that deliver them. From computer science classrooms to liberal arts seminars, from neuroscience-informed frameworks to transformational learning models, our guests tackle the questions every educator is wrestling with: What should we teach? How do we assess real learning? What's the educator's role now? And what does it mean to prepare students to be responsible citizens in an AI-powered world?Takeaways:AI is forcing education to answer questions it's been avoiding for decades.Personalization at scale is one of AI's most promising contributions to learning.Authentic assessment matters more than ever when AI can do the work for students.The educator's role is evolving, not disappearing.AI citizenship is as important as AI literacy.Liberal arts skills like critical thinking and communication are more valuable, not less, in an AI era.Cultural context, humility, and listening are essential to transformation.Frameworks like UNESCO's AI competency guides can help educators navigate the shift.Lifelong learning is no longer optional; it's foundational.The future of education depends on faculty engagement and institutional flexibility.Featuring:Dr. Joseph Youngblood II, Chancellor of Kean GlobalKelly Shiohira, director of the Global Science of Learning Education NetworkJoe Potvin, a adjuncy history professor at Simmons University and Senior Portfolio manager at CengageMatt Winters, AI Education Specialist at the Utah State Board of EducationSanjay Srivastava, CEO of Vocareum
Transcribe →Raiders of the Lost Apprenticeship: How Student Leadership and Experiential Learning are Driving Workforce Success
Apr 2100:40:15Tap to summarizeThis episode delves into the transformative potential of experiential and apprenticeship learning models in higher education and their critical role in preparing students for the future workforce, especially amidst rapid advancements in AI. Join us as Emily Foote, Chief Growth and Strategy Officer at Saxby's, shares her insights on how institutions can systemically integrate these models for greater impact.Main Topics:The resurgence of experiential and apprenticeship learning in higher educationDriving factors behind the renewed focus on experiential modelsThe impact of AI on entry-level jobs and skill developmentTransition from knowledge-based to skills-based educationHow to scale experiential learning effectively within institutionsDeveloping and validating durable skills like critical thinking, resilience, and leadershipMeasuring success: assessment methods for experiential programsBuilding equitable pathways to participation in experiential learningEvolving faculty roles from lecturers to learning architectsFuture of experiential learning in higher education and system-level changeShow Notes:Labor market impacts of AI: A new measure and early evidence - https://www.anthropic.com/research/labor-market-impactsShrinking Entry-Level Roles: A Stanford University analysis - https://d2zhjl04.na1.hs-sales-engage.com/Ctc/I8+23284/d2zhjl04/JlF2-6qcW8wLKSR6lZ3pZW5CRPvg52GtDSW26Y9kw5vtDdSW3lfnx11nB5kyW970xhj74Q4H0N5QP790pnqKLW2tMprh6NL3bYW5tKB851lpbDZN699P7cWv1RhW6qTl291_Lx7gW8tjYt54Gw0XPW69HzgF6qMQyZW9gkl1T14Sv-nW64m9pG2G_qrWN6q_63gvbF9HW5VLTdp4-nFFvW58gw-832lhZvW3NgDJw7BsgV9W1QZz5G6qD783W3PMdCJ4rL9WwVwBwj928NdM2W1Whd093G2GwFVrzxYr8fjrG2W1ZYkHC2BFDpyM-kMsm81BkPW8q5y5Z5hWKqBW2wgWW63M45JGW1Tyvt893Gw9nW20M7RR7J_ngKf3LPSfT0481% of graduates believe they are proficient in critical thinking, but only 56% of employers agree - https://www.naceweb.org/career-readiness/competencies/the-gap-in-perceptions-of-new-grads-competency-proficiency-and-resources-to-shrink-itCEOs say AI isn't just a tool to help juniors; it is a tool that may eventually replace them - https://www.wsj.com/tech/ai/ai-white-collar-job-loss-b9856259?gaa_at=eafs&gaa_n=AWEtsqeq2qCrXEm-pgwHBybLZX2vTpvCg1mRRu24ZP0dGCFb8GGKvzD5fT8v3vLAOZc%3D&gaa_ts=69c1f94e&gaa_sig=1PfpR7rR1s7nRCxfYDc7HrsIQHRY2CtyOo9VVMdyxLcucxOVLtS-5s1n-tZueQC-iFkWtCsyNocF0Ts1eME9Gw%3D%3DGallup study: Only 11% of business leaders believe higher ed effectively prepares graduates for work - https://www.gallup.com/education/231740/ways-realign-higher-education-today-workforce.aspx?utm_source=chatgpt.comSaxbys 2024-2025 Impact Report: https://21774654.fs1.hubspotusercontent-na1.net/hubfs/21774654/Saxbys%20Impact%20Report%20-%202024-2025.pdf
Transcribe →Code-ablanca: Rethinking Computer Science Education and the Future of Learning Code
Apr 700:32:28Tap to summarizeIn this episode, Ryan and Melissa Loble chat with Sanjay Srivastava, CEO of Vocareum, to explore the intersection of technology and education. They discuss Sanjay's journey in the tech industry, the importance of experiential learning, the impact of AI on computer science education, and the evolving role of educators in an AI-driven landscape. The conversation highlights the skills needed for future computer science graduates, the significance of authentic assessment, and the ethical considerations surrounding AI usage in education.Takeaways:Experiential learning environments enhance student engagement.Future computer scientists must understand AI's capabilities and limitations.Personalization in education is a key benefit of AI.Authentic assessment is crucial for measuring student mastery.Teachers play a vital role in integrating AI into the classroom.AI can help reduce failure rates in education significantly.Ethical considerations in AI usage are paramount.Show Notes:How are developers using AI? Inside our 2025 DORA report: https://blog.google/innovation-and-ai/technology/developers-tools/dora-report-2025/#:~:text=Massive%20adoption%20meets%20major%20productivity,of%20AI%20on%20code%20qualityVocareum @ Better Together: California Convening on AI in Higher Education: https://www.youtube.com/watch?si=HMfACp4h06PaFvFt&v=hZBYfvG7N7k&feature=youtu.be
Transcribe →Podcast at the Museum: How Museums are Implementing Digital and Experiential Learning
Mar 2400:33:57Tap to summarizeIn this episode, Melissa and Ryan are joined by Katherine Burton-Jones. Katherine discusses the intersection of museum studies and technology, sharing her journey from archaeology to teaching at Harvard Extension School. She highlights the evolution of museums over the past few decades, emphasizing the importance of human-centered learning and the challenges museums face in modernizing. The group explores how technology, including AI, can enhance the museum experience and foster social connections. Takeaways:The role of museums has evolved to become more user-centric and inclusive.Data collection is crucial for understanding visitor needs and behaviors.Technology can enhance the museum experience and make it more accessible.AI has potential applications in museums, but ethical considerations are important.Personal stories behind objects can create deeper connections with visitors.Museums can serve as spaces for social connection and community building.Curators of the future need to be data-aware and conceptually prepared.The future of museums lies in embracing technology while remaining inclusive.Show Notes: Katherine’s Bio: https://www.katherineburtonjones.com/ The Museum of Everyday Objects: https://www.museumofeverydayobjects.org/welcome-desk
Transcribe →It’s a Wonderful (Learning) Life: What it Means to Be Learning, Unlearning, and Relearning
Mar 600:46:42Tap to summarizeWe’re kicking off a new season of Educast 3000! In this episode, hosts Ryan Lufkin and Melissa Loble welcome back Professor Martin Bean to discuss the future of education. They explore the importance of lifelong learning, the evolution of credentials, and the need for educational institutions to adapt to the changing workforce landscape. Martin shares his personal learning moments and emphasizes the significance of recognizing prior learning. Together they discuss the need for equity in education and the vision for a connected learning system by 2026.TakeawaysLifelong learning is essential for success in the modern world.Credentials must evolve to reflect continuous learning and skills acquisition.Recognition of prior learning can enhance educational pathways.Equity in education is crucial for inclusivity and relevance.Educational institutions need to adapt to the needs of adult learners.The future of education requires dynamic and flexible pathways.Assuming competence rather than deficit can transform learning experiences.Collaboration between educators and employers is necessary for relevance.Shared skill descriptors can help align education with workforce needs.Investing in a connected learning system is vital for future success.
Transcribe →The Fast and the Flexible: Creating Inclusive Learning Design for All Students
Nov 2500:47:28Tap to summarizeIn this final episode of Educast 3000 before we take a holiday break, host Ryan Lufkin and guest co-host Jody Sailor engage in a dynamic conversation with educator and consultant Katie Novak. They explore the importance of Universal Design for Learning (UDL) in creating inclusive educational environments, the need for choice and voice in learning, and the disconnect between educators' perceptions and student outcomes. Katie emphasizes the role of leadership in driving change, the necessity of support systems for educators, and the importance of collaboration between K-12 and higher education. The discussion also highlights practical steps for educational leaders to implement effective practices and transform teaching for all learners.TakeawaysUniversal Design for Learning (UDL) aims to create inclusive learning experiences for all students.Educators often believe they know their students, but students may feel differently.Metrics for success in education need to reflect inclusive and future-ready learning environments.Support systems for educators are crucial for implementing UDL effectively.There is a disconnect between what educators believe they are doing and actual student outcomes.Transforming teaching practices requires abandoning outdated methods and embracing new approaches.Educational leaders must create clear instructional visions to guide change.Collaboration between K-12 and higher education can enhance learning experiences.Practical steps for educational leaders include setting firm goals and providing adequate support.Key LinksHere is a link about concern-based adoption: https://www.air.org/resource/cbam-concerns-based-adoption-model?gad_source=1&gad_campaignid=22771353292&gbraid=0AAAAADuG9jWdq_5jFKc6op3SnaJ1VH5tZ&gclid=Cj0KCQjwvJHIBhCgARIsAEQnWlDJgkM0Klo0hOhXgGB6A199OvCc9wsSo2y5oZ672kdMxth7X-8nb_8aAsrVEALw_wcBUDL Focus Area tool to know what to look for in universally designed classrooms: https://www.novakeducation.com/hubfs/10%20UDL%20Observations%20in%20the%20Classroom_Novak%20Education.pdfMTSS Self-Assessment to help districts reflect on which system drivers they have already and which they need to better support educators and students: https://7288705.fs1.hubspotusercontent-na1.net/hubfs/7288705/Resources/MTSS%20Self-Assessment_Novak%20Education.pdfWorld Economic Forum Future of Jobs Report: https://www.weforum.org/publications/the-future-of-jobs-report-2025/
Transcribe →The Conference Called EDUCAUSE: Reflections from EDUCAUSE 2025
Nov 1100:25:36Tap to summarizeIn this special episode of Educast 3000, Ryan Lufkin and guest host Zack Pendleton come to you live from EDUCAUSE 2025 in Nashville, Tennessee. They’re highlight the conversations they’re hearing surrounding AI, education technology, and more at this leading higher education conference.
Transcribe →