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    <loc>https://www.futurefluent.net/episodes/how-educators-can-get-more-value-from-learning-science-rampd</loc>
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    <lastmod>2026-03-16</lastmod>
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      <image:title>Episodes - How Educators Can Get More Value from Learning Science R&amp;amp;D - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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    <loc>https://www.futurefluent.net/episodes/ktxpmuupggnbkf1bce9rct0wld2vzg</loc>
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    <lastmod>2026-03-16</lastmod>
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      <image:title>Episodes - How Teachers Navigate an “Arrival Technology" - Justin Reich is an educational researcher interested in the future of learning in a networked world. He is an associate professor of digital media at MIT and the director of the MIT Teaching Systems Lab, which aspires to design, implement and research the future of teacher learning.  He is the host of the TeachLab podcast and the new series The Homework Machine about AI in K-12 Schools.  He is the author of Iterate: The Secret to Innovation in Schools andFailure to Disrupt: Why Technology Alone Can't Transform Education from Harvard University Press. He is the instructor for several open online courses at MIT including including Sorting Truth from Fiction: Civic Online Reasoning and Becoming a More Equitable Educator: Mindsets and Practices. Justin is a former fellow and faculty associate of the Berkman Klein Center for Internet and Society at Harvard University. Justin started his career teaching 9th grade world history, coaching wrestling, and leading outdoor activities.</image:title>
      <image:caption>Our wide ranging conversation with Justin Reich touched on some great resources if you’d like to dive further into the question of what we should be teaching either about or with AI.  Get started by jumping into the podcast that Justin cohosts called The Homework Machine. It explores the art and craft of teaching through interviews with more than 120 teachers and students from across a wide variety of subjects.  Prefer to read about AI? Browse this downloadable (and free) PDF from Reich and his colleagues called: A Guide to AI in Schools: Perspectives for the Perplexed.  Justin’s past books are well worth exploring, too. He wrote Iterate: The Secret To Innovation In Schools (published in 2023) and Failure To Disrupt: Why Technology Alone Can't Transform Education (published in 2020).  Want to understand more about how we teach and learn? Check out the National Tutoring Observatory, a research program aimed at improving teaching and learning at scale by studying great tutors.  Also seminal: the work of cognitive and learning scientist, Michelene (“Micky”) T.H. Chi. She has built a rich collection of research around how students learn, study and solve problems.  Verified: How to think straight, get duped less, and make better decisions about what to believe online by Mike Caulfield and Sam Wineburg (2023) explores what we should trust online.    And when it’s all too much, try a little fiction: Babel - An Arcane History by R.F. Kuang (2022), is a historical fantasy, a sort of Harry Potter meets linguists in a complex world.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/the-ai-trust-chasm-what-can-we-do-to-bridge-the-gap</loc>
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    <lastmod>2026-02-10</lastmod>
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      <image:title>Episodes - The AI Trust Chasm: What Can We Do To Bridge The Gap? - Erin Mote is the CEO and Founder of InnovateEDU, a non-profit dedicated to radically accelerating innovation in education through "uncommon alliances." A researcher and enterprise architect, Erin leads the organization’s work on systemic change in special education, talent development, and data modernization. She and her team developed two of InnovateEDU’s signature technology products: Cortex, a personalized learning platform, and Landing Zone, a cutting-edge data infrastructure service.</image:title>
      <image:caption>Through her work at InnovateEDU, Erin helped establish the EDSAFE AI Alliance, a global coalition promoting the Safe, Accountable, Fair, and Efficacious (SAFE) use of AI in education. Under her leadership, EDSAFE provides policy advocacy at federal and state levels, a national network of district-level policy labs, and a groundbreaking fellowship program to build leadership capacity in the AI era. A global leader in technology access, Erin co-founded Brooklyn Laboratory Charter School and served as the founding Chief of Party for the USAID Global Broadband and Innovations Alliance. She has served as a senior advisor to the White House/OSTP, the State Department, and the Obama Administration on global development and technology policy. Erin serves on advisory boards for SXSW EDU, XPRIZE, Digital Promise, and the Barbara Bush Foundation. She is an Aspen Institute Socrates scholar and a proud alumna of the University of Michigan.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/sidestepping-ais-nasty-unintended-consequences-1</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-02-10</lastmod>
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      <image:title>Episodes - Charting a research-based future for AI in education in the Netherlands - Dr. Inge Molenaar is the director of the National Education Lab AI (NOLAI) and professor of Education and Artificial Intelligence at the Behavioural Science Institute at Radboud University in the Netherlands. She has over 20 years of experience in technology-enhanced learning, taking multiple roles from entrepreneur to academic. Her research focuses on technology-empowered innovations to optimize human learning and teaching. The application of data, Learning Analytics and Artificial Intelligence in understanding how learning unfolds over time is central to her work. Artificial Intelligence offers a powerful way to measure, understand and design innovative learning scenarios. Dr Molenaar envisions Hybrid Human-AI Learning Technologies that augment human intelligence with artificial intelligence to empower learners and teachers in their quest to make education more efficient, effective and responsive. In the National Education Lab AI (NOLAI), a collaboration between the Dutch government, schools, research and industry, we believe that a multistakeholder, interdisciplinary approach is essential to develop the next generation educational technologies and a shared understanding of responsible use of AI in education. Dr Molenaar has received multiple grants among which an ERC Starting Grant to develop the first Hybrid Human-AI Regulation system to train young learners’ Self-regulated learning skills with AI and she is a Jacobs Foundation Fellow. She holds Master’s degrees in Cognitive Psychology and International Business studies and a PhD in Educational Sciences (University of Amsterdam).</image:title>
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  <url>
    <loc>https://www.futurefluent.net/episodes/sidestepping-ais-nasty-unintended-consequences</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2026-01-27</lastmod>
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      <image:title>Episodes - Sidestepping AI’s ‘Nasty, Unintended Consequences’</image:title>
      <image:caption>Pat Yongpradit is the General Manager of Global Education and Workforce Policy for Microsoft. Previously, he spent more than a dozen years with Code.org, a nonprofit organization dedicated to promoting AI and computer science education as the Chief Academic Officer. He has also been the lead of TeachAI, a global initiative that guides education leaders in reimagining education in the age of AI. His work has spanned curriculum and professional learning, school outreach, policy and government affairs, and international development. Before becoming a global voice for K-12 computer science and AI education, he taught for 13 years, inspiring students to create mobile games and apps for social causes and broadening participation in computer science among underrepresented groups. He was featured in the book, “American Teacher: Heroes in the Classroom,” and has been recognized as a Microsoft Worldwide Innovative Educator. He has earned certifications in biology, physics, math, health, and technology education. Although Pat currently spends most of his time in education policy conversations, he still finds ways to sneak into the classroom.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/56w2cnyleqzkt10oubuvalf5g8acf5</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-12-17</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/6642a06f08f3f622b2aadf5c/c6a5c30a-3b57-419a-bae1-8abc5425ff3c/Headshot+for+Apple.png</image:loc>
      <image:title>Episodes - What Happens When the World is Built on Stacks of Wizards - Ethan Mollick is an Associate Professor at the Wharton School, where he studies and teaches innovation and entrepreneurship and examines AI’s effects on work and education. He shares free resources and prompts at the Generative AI Labs at Wharton. He also co-founded and leads Wharton Interactive, an effort to democratize education using games, simulations, and AI. His academic papers have been published in top management journals. CNN, The New York Times, and other leading publications have also covered his research. He has created numerous teaching games on a wide variety of topics. His book, Co-Intelligence: Living and Working with AI, is a New York Times best seller.</image:title>
      <image:caption>In addition to his academic work, Ethan advises several startups and organizations, and writes the “One Useful Thing” newsletter, with over 50k subscribers. He shares his insights daily with his over 150k Twitter followers and can be found on X, BlueSky, and LinkedIn.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/what-weve-learned-about-ai</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-06-06</lastmod>
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      <image:title>Episodes - What We've Learned About AI</image:title>
      <image:caption>Betsy Corcoran is a writer, thought-leader and serial entrepreneur who brings education’s best ideas to life. She advises C-level leaders at companies and foundations seeking to make a difference in how we learn. In May 2025, she joined the nonprofit AI infrastructure organization, Playlab.ai, as director of strategic initiatives. She also chairs the board of Design Tech High School, a public charter school in Redwood City, Calif. Previously Betsy cofounded and served for almost a decade as CEO of EdSurge, an award-winning news and information hub for educators, entrepreneurs, philanthropists and policy makers with a commitment to using technology to support learning. In 2019, she negotiated its successful acquisition by ISTE.  A journalist at heart, Betsy served as Silicon Valley Bureau Chief for Forbes Media and received national recognition for her reporting and writing at organizations that include The Washington Post and Scientific American magazine. She is an internationally recognized speaker, conference moderator and LinkedIn “Influencer.”  On the nonprofit side, she cofounded Project Ollie, which helps students and teachers in Ukraine and serves on the board of New Harmony Line, founded by noted MIT Media Lab professor, Tod Machover.  Betsy has been a Fellow with the Pahara-Aspen Education Fellows Program and the Knight Science Journalism program at the Massachusetts Institute of Technology.   In her spare time, Betsy swims in open water and with a Masters team in California.</image:caption>
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      <image:title>Episodes - What We've Learned About AI - Dr. Jeremy Roschelle serves as Executive Director of Learning Sciences Research at Digital Promise, where he conducts research on the future of learning with technology. Dr. Roschelle is a Fellow of the International Society of the Learning Sciences, and is internationally known for his work on computer-supported collaborative learning, learning mathematics with technology, and on scaling up research-based technologies. Over his 30+ year career, he has authored about 200 publications, which have earned him more than 25,000 citations. He also holds 10 patents.  Dr. Roschelle presently leads major AI in education R&amp;D projects, such as U-GAIN Reading. He also leads research hubs that organize the work of top scholars throughout the field. For example, SEERNet serves IES’s portfolio of projects that use digital learning platforms as research infrastructure. Additionally Dr. Roschelle  serves as a subject matter expert on Artificial Intelligence in both the public and private sector and on the Advisory Committee for Education at the National Science Foundation. He actively communicates to broad audiences about how findings and insights from research can shape the future of technology use in education. In his spare time, he enjoys photography, jazz, backpacking and hiking.</image:title>
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  <url>
    <loc>https://www.futurefluent.net/episodes/what-its-like-when-every-student-does-computer-science</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-06-06</lastmod>
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      <image:title>Episodes - What It's Like When Every Student Does Computer Science</image:title>
      <image:caption>Sallie Holloway serves as the Director of AI and Computer Science for Gwinnett County Public Schools, focused on building high-quality and inclusive learning experiences that prepare students for their futures. She is responsible for the implementation of the district’s K-12 Computer Science for All initiative and its AI and Future-Ready pilot, both aiming to bridge all students to their most meaningful future opportunities. Sallie has experience as a high school computer science teacher as well as school and district level leadership roles in both Fulton County Schools and Gwinnett County Schools. She attended the University of Georgia for her undergrad and holds degrees in Workforce Education, Instructional Technology, and Educational Leadership.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/reading-the-context-becoming-fluent-in-ai-through-play-</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-05-29</lastmod>
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      <image:title>Episodes - Reading the Context: Becoming Fluent in AI through Play</image:title>
      <image:caption>John Seely Brown, or JSB,  was the former Independent Co-Chairman of Deloitte’s Center for the Edge and a visiting scholar and advisor to the Provost at University of Southern California (USC).  Prior to that he was the Chief Scientist of Xerox Corporation and the director of its Palo Alto Research Center (PARC)—a position he held for nearly two decades. A master integrator and instigator of productive friction, JSB explores the whitespace between disciplines and builds bridges between disparate organizations and ideas. While head of PARC, Brown expanded the role of corporate research to include such topics as the management of radical innovation, organizational learning, complex adaptive systems, and nano technologies. He was a cofounder of the Institute for Research on Learning (IRL). His personal research interests include new approaches to learning, digital youth culture, digital media, and the application of technology to accelerate deep learning within and across organizational boundaries—in brief, to design for emergence in a constantly changing world. JSB  is a member of the American Academy of Arts and Sciences, the National Academy of Education, a Fellow of the American Association for Artificial Intelligence and of AAAS, and a past Trustee of the MacArthur Foundation. He serves and has served on numerous private and public boards of directors, including Amazon (14 years), Corning, and Varian Medical Systems. For a few of his more than 100 publications, take a further reading below.  JSB received a BA from Brown University in 1962 in mathematics and physics and a PhD from University of Michigan in 1970 in computer and communication sciences. He also has eleven honorary doctor degrees from three countries reflecting the breadth and diversity of his research experiences. He is also an avid reader, traveler and (former) motorcyclist. Part scientist, part artist and part strategist, JSB’s views are unique and distinguished by a broad view of the human contexts in which technologies operate and a healthy skepticism about whether or not change always represents genuine progress.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/how-to-give-feedback-on-500-million-sentences</loc>
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    <priority>0.5</priority>
    <lastmod>2025-05-22</lastmod>
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      <image:title>Episodes - How to Give Feedback on 500 Million Sentences</image:title>
      <image:caption>Peter Gault is the Founder and Executive Director of Quill.org, a nonprofit organization dedicated to helping millions of low-income students become strong readers, writers, and critical thinkers. Quill uses artificial intelligence to provide students with immediate feedback on their work, enabling them to revise their writing and quickly improve their skills. Quill has enabled ten million K-12 students in the United States to become stronger readers and writers by providing students with AI-powered feedback and coaching on more than two billion sentences. Teachers are provided with free access to Quill’s research-based curriculum, and the open-source organization works with academic researchers across the country to design and build its technology and curriculum. Peter leads product strategy, fundraising, and strategic partnerships. He started designing educational software tools and games in high school and studied philosophy and history at Bates College. Quill has been recognized by Fast Company’s Most Innovative Education Companies, Bill &amp; Melinda Gates Foundation’s Literacy Courseware Challenge, and Google.org’s AI for Social Impact Challenge.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/the-hardest-part-of-using-ai-for-good</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-04-24</lastmod>
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      <image:title>Episodes - The Hardest Part of Using AI for Good</image:title>
      <image:caption>Jason Green is the bestselling co-author of Blended Learning in Action, and president and co-founder of Yourway Learning. Inspired by his youth development and nonprofit work as a student at Morehouse College, Jason has dedicated his career to creating positive change in education. Jason has helped thousands of schools and districts reimagine and implement future-forward teaching and learning. Through a research partnership with Stanford University Graduate School of Education’s Dr. Arnetha Ball, Jason develops technology to help educators save time, elevate instructional practice, and drive system-wide outcomes. Jason holds an MBA from the Wharton School, a M.S.Ed from the University of Pennsylvania, a BS from Morehouse College and has spoken at leading universities and conferences around the world.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/can-ai-measure-what-students-really-know</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-04-17</lastmod>
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      <image:title>Episodes - Can AI measure what students really know?&amp;nbsp;</image:title>
      <image:caption>Dr. Kristen DiCerbo is the Chief Learning Officer at Khan Academy, where she leads the content, assessment, design, product management, and community support teams. Time magazine named her one of the top 100 people influencing the future of AI in 2024. Dr. DiCerbo’s career has focused on embedding insights from education research into digital learning experiences.  Prior to her role at Khan Academy, she was Vice-President of Learning Research and Design at Pearson, served as a research scientist supporting the Cisco Networking Academies, and worked as a school psychologist. Kristen has a Ph.D. in Educational Psychology from Arizona State University.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/can-agency-subvert-agents</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-04-17</lastmod>
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      <image:title>Episodes - How Playing with AI Can Build Human Agency</image:title>
      <image:caption>Yusuf Ahmad is the cofounder and chief executive of Playlab, a tech nonprofit that empowers educators, schools, and nonprofits to build their own AI tools or adapt tools built by others. Prior to founding Playlab, Yusuf led new product development for Teach For America, contributed to Scratch (a creative coding platform used by millions of kids), conducted research at the MIT Media Lab, and was on the founding team of ALU &amp; ALX, a pan-African network of universities and alternative higher ed pathways.  Outside of work, he mentors startups through MIT’s Sandbox Fund, angel invests in AI edtech companies including LitLab and Recess, and is a proud girl dad.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/zen-and-the-art-of-mastering-ai-trends</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-04-17</lastmod>
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      <image:title>Episodes - Zen and the Art of Mastering AI Trends</image:title>
      <image:caption>Claire Zau is a Partner and AI Lead at GSV Ventures. She leads GSV’s AI investment coverage and writes a newsletter on AI and education – aieducation.substack.com.    Claire regularly shares her thought leadership on the topic of AI, having delivered keynotes and participated in panels at the World Economic Forum, ASU+GSV, EdTech Week, ISTE, and more. She also serves as an advisor for ASU’s External AI Thought Leadership group, where she contributes her expertise to ensure the responsible use of technology aligns with ASU’s Charter goals of inclusive access to education at scale. She was recognized as a Forbes 30 Under 30 honoree in Venture Capital.   She graduated from Stanford University and received her Master’s from the University of Pennsylvania’s Graduate School of Education. At Stanford, she was a varsity fencer, competing at both national and international levels for many years. At Penn, Claire was a Venture Fellow at Red &amp; Blue Ventures and worked at Penn’s education accelerator Catalyst. She has previous work experience in tech and finance, and has lived in Hong Kong, Singapore, Tokyo, the Bay Area. Claire now resides in New York City.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/why-learnings-fourth-r-is-the-most-powerful</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-03-14</lastmod>
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      <image:title>Episodes - Why Learning's Fourth 'R' Is the Most Powerful</image:title>
      <image:caption>Isabelle C. Hau is the inaugural executive director of the Stanford Accelerator for Learning, a Stanford-wide initiative transforming the future of learning by bridging research, practice, and policy. A seasoned impact investor, Isabelle was a founding partner at Imaginable Futures, a global philanthropic investment firm launched by eBay founder Pierre Omidyar, dedicated to unlocking human potential through learning. Previously, she led the U.S. education initiative at Omidyar Network, scaling transformative education organizations that impacted millions of learners worldwide. Isabelle serves on the boards of EDC and Sonen, and on the steering committees of the EdSAFE AI Alliance and the Brookings Global AI taskforce. She regularly judges prestigious education innovation challenges, including the LEGO Foundation’s $143M challenge and the MacArthur Foundation’s $100M competition. She writes the popular newsletter Small Talks and teaches a class with the Stanford d.school. Her book Love to Learn: The Transformative Power of Care and Connection in Early Education debuted in February 2025.  She was honored as 100 Inspiring Women at Harvard Business School, awarded the ASU-GSV Women in AI, and the Global MindED Inclusive Leader Award in Early Childhood Education. She also co-starred with Grover of Sesame Street on early childhood innovation.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/creating-and-killing-open-educational-resources</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-03-06</lastmod>
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      <image:title>Episodes - Creating--and Killing--Open Educational Resources</image:title>
      <image:caption>Dr. David Wiley is the Chief Academic Officer of Lumen Learning. Holding a PhD in Instructional Psychology and Technology from Brigham Young University, his work and research happen at the intersection of open educational resources, generative AI, continuous improvement, and professional development. Dr. Wiley is the Director of The Brad D. Smith Student Incubator in the Center for Innovation and Entrepreneurship at Marshall University, and adjunct faculty in Brigham Young University's graduate program in Instructional Psychology and Technology, where he was previously a tenured Associate Professor. Dr. Wiley publishes "Reviewing Research on AI in Education," a newsletter for anyone trying to stay up-to-date with empirical research on the impacts of generative AI on teaching and learning.</image:caption>
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  <url>
    <loc>https://www.futurefluent.net/episodes/what-ai-can-and-cant-do-in-math</loc>
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    <lastmod>2025-03-05</lastmod>
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