Podcast
D2L's Teach & Learn
Hosted by D2L · EN
Teach & Learn is a podcast for curious educators. Hosted by Dr. Cristi Ford and Dr. Emma Zone, each episode features candid conversations with some of the sharpest minds in the K-20 education space. We discuss trending educational topics, teaching strategies and delve into the issues plaguing our schools and higher education institutions today.
11episodes
Episodes
Newest firstAll episodes
AI and Assessment: A New Reality for Faculty With Dr. Phillip Dawson
4w ago00:35:41Tap to summarizeIn this episode of Teach & Learn, host Dr. Cristi Ford is joined by Dr. Phillip Dawson from Deakin University to explore a question many higher education educators are grappling with: how do we assess learning in an AI-shaped world?Rather than offering a quick fix, Dr. Dawson reframes AI and assessment as a “wicked problem”—one without a single solution, clear endpoint or shared definition. For faculty and academic leaders, that means moving beyond AI detection tools and “AI-proof” assignments toward more thoughtful, adaptable approaches to assessment design. Together, they explore:Why AI challenges traditional assumptions about academic integrity and student capability The tension between preparing students for an AI-enabled workforce and ensuring authentic learning What structural changes to assessment look like in practice, including interactive and reflective approaches Why program-level collaboration—not individual effort—is key in higher education How feedback literacy is becoming essential for both students and educators As Dr. Dawson puts it, “there is no fix”—only ongoing decisions about trade-offs, context and what’s “good enough” for now. Resources Discussed in the Episode:"The wicked problem of AI and assessment"“‘Where’s the line? It’s an absurd line’: towards a framework for acceptable uses of AI in assessment.”“Talk is cheap: why structural assessment changes are needed for a time of GenAI.”“It takes a village… Program-wide approaches to redesigning assessment in a time of generative artificial intelligence (GenAI).”The Feedback Literacy Behaviour Scale (FLBS)Remember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more.For more content, please visit the Teaching & Learning Studio.To hear more about how D2L is transforming the way the world learns, visit our website at D2L.comVisit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
Transcribe →Rigor and Relief: Rebuilding Student Success in an AI-Driven World With Dr. Mitch Colver
May 700:39:29Tap to summarizeWhat helps students persist when learning gets hard?In this episode of Teach & Learn, Dr. Emma Zone is joined by Dr. Mitch Colver, Associate Provost for Engagement and Retention at the American Public University System, for a wide-ranging conversation about student success, faculty practice and AI in higher education.Together, they explore the idea of rigor and relief as a paired learning experience, why human connection remains the strongest driver of retention and how faculty feedback, mentoring and institutional culture shape student confidence. Mitch also shares what he learned by returning to school as a student in the age of generative AI, offering a grounded perspective on ethical AI use, digital hygiene and teaching students how to navigate ambiguity.This episode is especially relevant for faculty, instructional designers, academic leaders and anyone thinking deeply about learning science, student wellbeing and the future of higher education.Mitch and Emma talk about:Productive struggle and student resilienceFaculty feedback as rigor and supportRetention, advising and one-on-one learning relationshipsEthical and practical uses of AI in courseworkPrivacy, AI history and digital hygieneRebuilding learning systems in times of changeDr. Mitch Colver is Associate Provost and Vice President at American Public University System. He began working in higher education in 2007, and his early experiences with students taught him to focus on the value of human diversity and human potential. As a thought leader in the field of analytics and intelligent systems, he is frequently invited to champion the idea that student success can best be fostered through increased intentionality amongst faculty, staff, and executives. Mitchell has degrees in Psychology, Music, and Experimental Research, as well as a Ph.D. emphasizing research in Higher Education. His research has appeared in Popular Science, Discover, Slate, Smithsonian, New York Magazine and internationally on Radio BBC.Remember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more. Please take a moment to rate, review and share the podcast, and reach out with comments and ideas for future episodes.For more content, please visit the Teaching & Learning Studio where you can listen to more podcast episodes, register for free D2L Master Classes and read articles written by educational leaders.To learn more about how D2L is transforming the way the world learns, visit our website at D2L.com Class dismissed. Visit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
Transcribe →The AI Divide in Higher Ed: Identity, Expertise and the Future of Learning With Laura Zarrow, Part 2
Apr 1600:22:21Tap to summarizeWhat happens when AI changes not just how we work, but how we create, learn and define human value?On this episode of Teach & Learn, Dr. Cristi Ford continues the conversation with Laura Zarrow, executive director of the Wharton Generative AI Lab at the University of Pennsylvania, to explore how generative AI is reshaping authorship, education and the future of work. Together, they discuss why discernment, creativity and collaboration may matter more than technical skills in an AI-driven world—and how institutions can help educators and learners adapt.As Zarrow explains, we shouldn’t treat AI like a vending machine:“Instead of thinking of it [AI] as something that produces a finished product, think of it as something that produces ingredients for you to produce a finished product.”Together, they unpack: How generative AI is reshaping creativity and knowledge creation—and why human direction still matters.Why discernment and AI literacy are becoming essential skills in a world where synthetic content is everywhere.What higher education should teach in an AI-driven future, including the growing importance of critical thinking, leadership and collaboration.How generative AI may change the future of work and the value universities provide to students.Practical advice for using AI responsibly, including why it should be treated as a tool for generating ideas and ingredients—not finished answers.Resources Discussed in the Episode:"Call Me A Jerk: Persuading AI to Comply With Objectionable Requests" Influence at WorkDr. Robert CialdiniWomen@Work With Laura ZarrowRemember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more.For more content, please visit the Teaching & Learning Studio.To hear more about how D2L is transforming the way the world learns, visit our website at D2L.comVisit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
Transcribe →The AI Divide in Higher Ed: Identity, Expertise and the Future of Learning With Laura Zarrow, Part 1
Apr 200:30:27Tap to summarizeWhat happens when AI ambition outpaces academic culture?In this special two-part episode of Teach & Learn, host Dr. Cristi Ford sits down with Laura Zarrow, executive director of the Wharton Generative AI Labs (GAIL) at the University of Pennsylvania, to explore the growing divide in higher education.Across campuses, leaders are setting bold AI-first visions. But inside classrooms, faculty are navigating something far more complex—a shift that challenges long-standing pedagogical practices, assessment models and even professional identity.But as Zarrow explains, “Subject matter expertise has never been more important.”Rather than replacing educators, generative AI raises the bar. It demands deeper judgment, sharper discernment and a renewed commitment to meaningful learning. The question isn’t whether AI belongs in higher education; it’s how institutions align leadership ambition with faculty culture, capacity building and daily classroom practice. In this conversation, Dr. Ford and Zarrow unpack:why AI strategy often moves faster than institutional scaffoldinghow generative AI is reshaping expertise, authority and academic identitywhat must evolve in assessment to support deep learning, not just compliancehow AI can serve as a collaborator, coach and creative partner in the classroomlessons higher education can draw from past technological shiftsThis episode offers a clear-eyed but optimistic perspective: Transformation requires more than tools. It requires trust, alignment and the courage to rethink long-standing systems.Resources Discussed in the Episode:Wharton's GAIL Prompt LibraryWharton's GAIL PrimerWomen@WorkRemember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more.For more content, please visit the Teaching & Learning Studio.To hear more about how D2L is transforming the way the world learns, visit our website at D2L.comVisit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
Transcribe →The Truth About Innovation Mindsets with Dr. Tessa Forshaw and Rich Braden
Mar 500:52:33Tap to summarizeJoin Dr. Emma Zone for a conversation with Dr. Tessa Forshaw and Rich Braden, co-authors of Innovation-Ish and longtime educators in design and innovation. They explore why creativity declines as learners grow older, how neuromyths shape classroom behaviors, and what educators can do to build environments that support experimentation, problem solving and flexible thinking.You’ll hear how innovation mindsets develop, why higher education often slows change, and how small, low-risk moves can help instructors build confidence and spark creativity in their teaching practice. The episode also highlights the role of cognitive science, experiential learning and metacognition in helping learners access their full creative potential.Dr. Tessa ForshawAs a founding scholar of the Next Level Lab at Harvard University, Tessa specializes in using cognitive science to explore how people best work, learn, and innovate. She draws upon her academic research as a cognitive scientist and extensive background as a former designer at IDEO CoLab and Accenture to turn the cognitive processes involved in design, creativity, and innovation into practical insights that can be applied in the flow of work. These insights are also the foundations of what she teaches as a design educator at Stanford University and now Harvard University. Recognized for her impactful design projects, Tessa is the recipient of multiple design awards: a Fast Company Design Award for General Excellence, two Core77 Industrial Design Magazine Design Awards, and the Australian American Chamber of Commerce Innovation Awards.Rich BradenRich Braden is the founder of People Rocket LLC, a strategic innovation firm based in San Francisco. With over 15 years of academic experience, Rich is a recognized thought leader in design thinking, leadership, and innovation. He is a design educator teaching at renowned institutions including Harvard University, Stanford University, Aalto University, and London Business School, helping shape future leaders. As CEO of People Rocket, he works with clients such as Airbnb, Google, the United Nations, Microsoft, Coca-Cola, Starbucks, and the Red Cross to drive strategic innovation and responsible AI solutions. Rich holds degrees in Computer and Electrical Engineering from Purdue University and resides in the San Francisco Bay Area.Learn more about and purchase your copy of Innovation-ish today.Remember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more. Please take a moment to rate, review and share the podcast, and reach out with comments and ideas for future episodes.For more content, please visit the Teaching & Learning Studio where you can listen to more podcast episodes, register for free D2L Master Classes and read articles written by educational leaders.To learn more about how D2L is transforming the way the world learns, visit our website at D2L.com Class dismissed. Visit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
Transcribe →Shaping Expertise, Bias and Responsibility in the Age of AI With Roboticist Dr. Ayanna Howard
Feb 500:26:20Tap to summarizeThere’s an old saying: familiarity breeds complacency. As Artificial Intelligence (AI) becomes more integrated into everyday work and life, the need to use it thoughtfully and critically is more important than ever. So why can’t we simply trust that AI outputs are fair, balanced and equitable? Because AI is a co-created system, shaped by what humans make available to it. And since we’re far from perfect, the data we provide reflects our own biases—intentional or not. As this episode’s guest explains, bias isn’t always clear-cut. The real challenge is learning to recognize and prevent biases from causing harm and when biases are beneficial.In this episode of Teach & Learn, host Dr. Cristi Ford is joined by Dr. Ayanna Howard, a leading roboticist, former electrical engineer at NASA's Jet Propulsion Laboratory and dean of The Ohio State University College of Engineering, to explore what it means to be human in an AI-driven world. Drawing from her keynote at the D2L Executive Summit and her audiobook Sex, Race, & Robots, Dr. Howard challenges how we define expertise, reframes how we think about bias and offers a hopeful, practical vision for more equitable learning and work.Rather than positioning AI as a replacement for human expertise, Dr. Ford and Dr. Howard chat about how AI can act as a collaborator, supporting curiosity, creativity, critical thinking and problem-solving when educators and learners engage with it thoughtfully.In this episode, Dr. Ford and Dr. Howard discuss:why AI should be approached with intention, not blind adoptionhow expertise is shifting from static knowledge to dynamic, human skillswhy bias in AI isn’t inherently harmful—and how context matters, including in areas like medicinehow a lack of diverse voices and lived experiences leads to inequitable outcomespractical actions educators, leaders and technologists can take to shape AI responsiblyAs Dr. Howard reminds us, being human in the age of AI means leaning into curiosity and creativity—and taking responsibility for the systems we help create.Resources:Exploring the promises and challenges of AI with Ayanna Howard '93, Brown University, School of EngineeringSex, Race, and Robots author Ayanna Howard discusses how to identify, fight bias, The RobotReportSex, Race and Robots: How to Be Human in the Age of AI, Audible Remember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more.For more content, please visit the Teaching & Learning Studio.To hear more about how D2L is transforming the way the world learns, visit our website at D2L.comVisit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
Transcribe →From AI to Competency-Based Education: Key Forces Shaping Education With John Baker
Jan 1500:32:22Tap to summarize🎓 What does the education landscape look like in 2026? From artificial intelligence to competency-based education, the future of learning is being shaped by multiple forces. And institutions need to adapt fast.In this episode of Teach & Learn, Dr. Cristi Ford sits down with John Baker (CEO, President and Founder of D2L) to explore how AI, immersive learning and skills-focused strategies are transforming education. You’ll hear why non-degree credentials are surging, how AI is reducing course development costs and why human connection still matters in a tech-driven world.Baker shares practical insights on building flexible learning ecosystems, leveraging AI responsibly and moving beyond outdated standards like SCORM to create engaging, interactive experiences. This conversation is a roadmap for leaders ready to embrace innovation and prepare learners for the future.💬 “The urgency has never been greater. Institutions need to step up and tackle the big challenges of re-skilling the workforce and preparing students for a new world with AI.” — John BakerIn this episode, Cristi and John discuss:the biggest forces shaping education in 2026how AI is transforming course design and reducing coststhe rise of competency-based education and non-degree credentialsmoving beyond SCORM to open, interactive learning standardspractical strategies for institutional leadersRemember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more.For more content, please visit the Teaching & Learning Studio.To hear more about how D2L is transforming the way the world learns, visit our website at D2L.comVisit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
Transcribe →From Strategy to Action: Building the Role of Chief Online Learning Officers
Jan 800:31:08Tap to summarizeWhat does it take to lead online learning in today’s higher education landscape? In this episode of Teach & Learn, Dr. Cristi Ford sits down with Dr. Thomas Cavanagh and Dr. Jocelyn Widmer, editors of the Chief Online Learning Officer’s Guidebook, to explore how digital learning leadership is evolving—and why this resource is becoming essential for institutions everywhere.From strategic planning to operational execution, the guidebook offers practical insights for COLOs and anyone shaping online education. You’ll hear how leadership competencies, entrepreneurial thinking, and future-focused skills like Futures Literacy are redefining what it means to lead in a post-pandemic world.💬 “The future of online learning leadership will be defined by leaders who are not constrained by the way we’ve always done things.” — Tom Cavanagh🔍What Cristi, Thomas and Jocelyn talk about:☑️ Why the COLO role matters now more than ever☑️ Strategic and operational frameworks for success☑️ Lessons from CIO evolution and leadership competencies☑️ Preparing for the future with Futures Literacy ☑️ Practical advice for new and aspiring COLOsPurchase your copy of the Chief Online Learning Officer’s Guidebook today.Remember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more. Please take a moment to rate, review and share the podcast, and reach out with comments and ideas for future episodes.For more content, please visit the Teaching & Learning Studio where you can listen to more podcast episodes, register for free D2L Master Classes and read articles written by educational leaders.To learn more about how D2L is transforming the way the world learns, visit our website at D2L.com Class dismissed. Visit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
Transcribe →Building an Inclusive AI Ecosystem for Education With Matthew Winters
Dec 400:40:55Tap to summarizeIs artificial intelligence (AI) just for grading and admin tasks? Not according to Matthew Winters. In this episode of Teach & Learn, Dr. Emma Zone chats with Utah’s first state-level AI education specialist about how AI is helping educators turn creative ideas into impactful, inclusive learning experiences.From personalized support to improved accessibility, AI is becoming a collaborative partner in the classroom—helping teachers reach individual learners and bring bold ideas to life. Winters shares how the Utah State Board of Education is building an AI ecosystem that supports educators through professional learning, inclusive frameworks, and creative classroom applications. You’ll hear how teachers are moving from fear to curiosity, from creativity to accessibility, and how a connected K–20 approach is shaping the future of learning.💬 “With a little bit of pushing, teachers move into creativity—doing things in their classrooms they’ve never been able to do before. Naturally, they begin asking, ‘How can this be accessible for all my students?’” — Matthew Winters📣What Dr. Zone and Winters talk about:☑️The development of Utah’s AI education framework ☑️Professional learning as an investment, not a cost☑️Creative and accessible AI applications in classrooms☑️Building a K–20 pipeline for AI readiness☑️The “Portrait of an AI Graduate” initiative🔖Resources: Playbook for Strategic Foresight and InnovationUtah State Board of Education, AI OverviewArtificial Intelligence Framework for Utah P-12 Education: Guidance on the Use of AI in Our SchoolsASU+GSV 2025: Utah Shares Plan for Statewide AI Education Remember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more.For more content, please visit the Teaching & Learning Studio.To hear more about how D2L is transforming the way the world learns, visit our website at D2L.comVisit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
Transcribe →Reimagining Bloom’s Taxonomy for AI-Driven Learning With Michelle Kassorla
Nov 600:28:14Tap to summarizeIn this episode of Teach & Learn, Dr. Cristi Ford speaks with Michelle Kassorla, a Georgia State University professor and AI education thought leader who believes it’s time to flip the traditional learning model that is Bloom's Taxonomy. From AI-generated essays to student-created content that precedes understanding, Kassorla shares how today’s learners are starting with creation—and why educators must rethink scaffolding, assessment and agency. You’ll hear how friction fuels critical thinking, how reflective footnotes deepen metacognition, and how transparency around AI use is reshaping classroom practice. Dr. Ford and Kassorla discuss: ☑️ Why Bloom’s Taxonomy needs reimagining in an AI-driven world ☑️ How students create before they understand and what that means for teaching☑️ The role of friction in authentic learning☑️ Reflective footnotes and transparency statements as new assessment tools☑️ How educators can design for agency, voice and deeper engagementMichelle Kassorla, Ph.D., is an Associate Professor at Georgia State University, Perimeter College and AI in education thought leader. She’s on the AI Expert Panel for EDUCAUSE, where she leads the AI Literacy committee for Higher Education. A recipient of a CETLOE fellowship, she published “Teaching with GAI in Mind” and co-authored a textbook and papers with Eugenia Novokshanova. She shares her insights on LinkedIn and her blog, “The Academic Platypus.” Remember to follow us on social media. You can find us on X, Instagram, LinkedIn, or Facebook @D2L. Check out our YouTube channel for the video version of this podcast and so much more. Please take a moment to rate, review and share the podcast, and reach out with comments and ideas for future episodes.For more content, please visit the Teaching & Learning Studio where you can listen to more podcast episodes, register for free D2L Master Classes and read articles written by educational leaders.To learn more about how D2L is transforming the way the world learns, visit our website at D2L.com Class dismissed. Visit the Teaching & Learning Studio for more content for educators, by educators. Sign up for our newsletter today.
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