Silver Lining for Learning Podcast Por Punya Mishra | Chris Dede | Curt Bonk | Yong Zhao arte de portada

Silver Lining for Learning

Silver Lining for Learning

De: Punya Mishra | Chris Dede | Curt Bonk | Yong Zhao
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Silver Lining for Learning (https://silverliningforlearning.org) is an ongoing conversation on the future of learning with educators and education leaders from across the globe. Hosted by Chris Dede, Curt Bonk, Punya Mishra & Yong Zhao, these conversations began under the “dark cloud” of the COVID19 crisis and continue today. We see these conversations as space to discuss the creation of equitable, humanistic and sustainable learning ecosystems that meet the needs of all learners. These conversations are hosted live on YouTube every Saturday (typically 5:30 PM Eastern US time).2020-2022 Silver Lining for Learning
Episodios
  • A guide to AI in schools: Perspectives for the perplexed

    A guide to AI in schools: Perspectives for the perplexed
    Jan 18 2026
    “A guide to AI in schools: Perspectives for the perplexed.”AI literacy is perplexing, everyone seems to want it taught, but few people can adequately describe or define it. AI is also different than the arrival of previous learning technology; it did not enter schools and university as the result of deliberate institutional plans and policies; instead, students and teachers simply began using it. As a result, institutions of higher learning as well as K-12 schools are scrambling to adjust; many are rapidly adopting policies and designing courses, events, and resources intended to make learners fluent or proficient in AI literacy. Fortunately, Justin Reich and his colleagues in the Teaching Systems Lab (TSL) have provided a vision of how K-12 schools can design a rich ecosystem for a more AI literate populace. See their new guidebook, “A guide to AI in schools: Perspectives for the perplexed. MIT Teaching Systems Lab.” Available: https://tsl.mit.edu/ai-guidebook/ and https://tsl.mit.edu/wp-content/uploads/2025/08/GuideToAIInSchools.pdfAs part of these efforts, they have produced books, films, podcast shows, and other timely resources to promote a more active and engaging pedagogical approach with AI tools and platforms. In fact, Justin and his colleague Jesse Dukes recently designed a 7-episode podcast series called “The Homework Machine.” As schools continue to grapple with the arrival of and experimentation with generative AI, “this timely series explores how the technology is reshaping the daily lives of K–12 teachers, staff, and students.” In Episode #259 of Silver Lining for Learning, you will discover how The Homework Machine takes listeners inside real classrooms and conversations to get a reality check in terms of generative AI in education. As Dr. Reich details with candid interviews and stories from K-12 students themselves, the series lays out both the promise and peril of this new tech in education.Justin Reich is an associate professor of digital media in the Comparative Media Studies/Writing department at MIT and the director of the Teaching Systems Lab. He is the author of Iterate: The Secret to Innovation in Schools and Failure to Disrupt: Why Technology Alone Can’t Transform Education, and he is the host of the TeachLab Podcast. In addition, Justin is the co-host of The Homework Machine, a limited series podcast about AI in schools. Justin Reich earned his doctorate from the Harvard Graduate School of Education and was the Richard L. Menschel HarvardX Research Fellow. He is a past Fellow at the Berkman-Klein Center for Internet and Society. His writings have been published in Science, Proceedings of the National Academy of Sciences, Washington Post, The Atlantic, and other scholarly journals and public venues. He started his career as a high school history teacher, and coach of wrestling and outdoor adventure activities. Follow Justin on Twitter or Google Scholar. More about Justin can be found at:https://tsl.mit.edu/team/justin-reich/Jesse Dukes is a veteran journalist, podcast producer, and researcher. He was a senior producer of podcasts at WBEZ, Chicago for seven years, serving as the longtime audio producer at Curious City, and producing Season 4 of Motive. He has taught audio storytelling at the Center for Documentary Studies at Duke, and Denison University. Jesse is the co-host of The Homework Machine, a limited series podcast about AI in schools.Resources:Justin Reich (PI and MIT Teaching Systems Lab Director), Jesse Dukes, Josh Sheldon, Julie M. Smith, Manee Ngozi Nmani, & Natasha Esteves (2025, November). A guide to AI in schools: Perspectives for the perplexed. MIT Teaching Systems Lab. Available: https://tsl.mit.edu/ai-guidebook/ and https://tsl.mit.edu/wp-content/uploads/2025/08/GuideToAIInSchools.pdfJustin Reich (2025, November 5). Stop Pretending You Know How to Teach AI; Colleges are racing to make students ‘fluent.’ One problem: No one knows what that means. The Chronicle of Higher Education. Available: https://www.chronicle.com/article/stop-pretending-you-know-how-to-teach-aiMIT Teaching Systems Lab: https://tsl.mit.edu/ Join the conversation at silverliningforlearning.org
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    1 h y 2 m
  • Rehearsing Reality through AI: How Simulations Build Better Teaching

    Rehearsing Reality through AI: How Simulations Build Better Teaching
    Jan 10 2026
    Rehearsing Reality through AI: How Simulations Build Better Teaching with Rhonda Bondie, Julie Cohen, & Lisa DeikerPurpose statementHow can teachers rehearse the toughest moments of teaching—without real students in the room? This episode explores how authentic simulations, powered by new technologies and AI, are transforming teacher preparation and professional learning. Guests Lisa Dieker, Julie Cohen, and Rhonda Bondie discuss how simulation can personalize feedback, deepen reflection, and build more effective educators.DescriptionHow can teachers learn the art of teaching in the same way pilots learn to fly or nurses learn to save lives? This episode of Silver Lining for Learning explores how authentic simulations are transforming teacher preparation and professional growth. Advances in technology now allow teachers unlimited opportunities to practice the hardest moments of teaching, with immediate feedback and opportunities to try again. For example, teachers can rehearse listening and responding to caregivers during difficult conversations. They can also practice responding to a wide variety of students’ learning needs, in the moment, on their feet.. However, simulations are not risk-free, this episode explores the opportunities, benefits, and dangers of simulated teaching practice with and without AI driven tools.Our guests, Rhonda Bondie, Julie Cohen, and Lisa Dieker, share their insights on the design, research, and implementation of simulated practice in education. Together, they trace the evolution of simulation technologies, discuss how these tools can be personalized to educators’ needs across their careers, and examine the opportunities and risks posed by AI-driven teaching simulations.Join us to imagine how simulation could reshape what it means to practice teaching.More about our guests below the videohttps://youtu.be/yIMSgs4AoScReadings and Resources: Dieker, L., Hughes, C., & Hynes, M. (2023). The Past, the Present, and the Future of the Evolution of Mixed Reality in Teacher Education. Education Sciences, 13(11), 1070. https://doi.org/10.3390/educsci13111070Bondie, R., Zusho, A., Wiseman, E., Dede, C., & Rich, D. (2023). The potential of differentiated and personalized teacher learning through mixed reality simulations. Technology, Mind, and Brain, 4, (1) Spring 2023. Special Collection: Learning in Immersive Virtual Reality. doi: 10.1037/tmb0000098 https://tmb.apaopen.org/pub/4gk68milCohen, J., Wong, V., Krishnamachari, A., & Berlin, R. (2020). Teacher coaching in a simulated environment. Educational evaluation and policy analysis, 42(2), 208-231.https://doi.org/10.3102/016237372090621Episode GuestsRhonda Bondie is an associate professor in special education at Hunter College, Deans Fellow, and the director of the Hunter College Learning Lab. Rhonda spent over 20 years in urban public schools as both a special and general educator. Rhonda’s co-authored book, Differentiated Instruction Made Practical, was recently translated into Portuguese, is used by teachers in more than 30 countries to ensure all learners are thriving every day. Rhonda’s research examines how teachers develop inclusive teaching practices through new technologies available at https://agileteacher.org/.Julie Cohen is the Charles S. Robb associate professor at the School of Education and Human Development at the University of Virginia. Her research focuses on teacher learning and skill development. For the past nine years, she has led the TeachSim lab at the University of Virginia where her team has designed over seventy simulation-based learning experiences for teachers. Her published work has documented the benefits of mixed reality simulations as both a practice space and assessment platform for beginning teachers. With support from the Bill and Melinda Gates Foundation and the Charles and Lynn Schusterman Family Philanthropies, she is working with Mursion to design a curriculum of AI-driven simulation modules for teachers.Lisa Dieker, Ph.D. is Williamson Family Distinguished Professor of Special Education at the University of Kansas and Director of FLITE (Flexible Learning through Innovations in Technology and Education). Her research examines inclusive education, teacher preparation, and the use of technology, including AI and mixed-reality simulation, to support students with disabilities in STEM. She co-founded the TeachLivE™ simulator and holds six patents in education and technology. She has authored seven books and over 100 scholarly publications. She has received numerous awards, has provided over 200 keynotes, and served as editor for four academic journals. Join the conversation at silverliningforlearning.org
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    1 h y 4 m
  • Welcoming 2026

    Welcoming 2026
    Jan 3 2026

    Welcoming 2025 with hosts Chris Dede, Lydia Cao, Punya Mishra & Curt Bonk

    Join the conversation at silverliningforlearning.org

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    1 h y 3 m
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I love the authentic approach grounded, intentional, and deeply reflective.
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