Afleveringen
-
In this episode, we explore the transformative impact of AI on education, leadership, and human agency. Dr. Michael J. Jabor discusses how AI reshapes thinking, the importance of maintaining agency, and the future of learning in an age of abundance.
Resources: Learning by design- Learning Science foundation of the Study and Learn Agent | AI and Humany Agency
Dr. Michael J. Jabbour serves as Microsoftâs AI Innovation Officer in the Office of the CTO, where he focuses on human-centered organizational transformation in the age of artificial intelligence. With over two decades of experience across AI, agile development, and healthcare sectors, he has led innovative digital initiatives that prioritize human needs alongside technological advancement. His career includes serving as CIO/CTO for several New York City agenciesâincluding the NYC Department of Educationâwhere he helped implement solutions affecting millions of people across government, corporate, and academic environments. At Microsoft, Dr. Jabbour combines this operational experience with a commitment to ensuring AI serves humanityâs essential needs. His current work explores the practical intersection of human and artificial intelligence, including biologically inspired AI models, distributed agency, and the evolving nature of education and work. Through research and innovation programs, he advocates for approaches that help individuals and organizations navigate technological change while preserving human agency and purpose in an increasingly AI-centered world.
-
In this episode, we discuss the evolving landscape of AI in education, emphasizing what is changing, how, and why. The conversation clarifies the confusion around AI literacy, system readiness, and strategic integration to prepare education systems for the future. Listen in as we map the evolution of artificial intelligence from a novel curiosity to systemic transformation in schools, and identify whatâs working.
Follow on X: @MrYongpradit @sparvell | @MicrosoftEDU | @bamradionetwork |@jonHarper70bd
Related Resource: 5 foundations for reshaping the future of education and AI
Pat Yongpradit is General Manager of Global Education and Workforce Policy at Microsoft. He leads Microsoft's global strategy to put people first in an age of AI by shaping education and workforce policy. Youngpradit oversees and collaborates with a team of policy experts; engages governments, NGOs, and industry partners worldwide; and serves as a trusted thought leader on AI literacy, safe and responsible AI in education, and the future of work.
-
Zijn er afleveringen die ontbreken?
-
What happens when a school leader doesnât just adopt AI, but invites students and teachers to help shape how itâs used? In this conversation, Dr. Paul Turnbull, President of Mid-Pacific Institute, shares how his school is approaching AI as a collaborative effortâone that balances innovation with intention. He walks through the creation of an AI advisory council, why student voice matters in policy decisions, and how to navigate the tension between experimentation and âAI sprawl.â Along the way, he offers a candid look at whatâs working, whatâs challenging, and whatâs nextâboth in the classroom and behind the scenes in school leadership.
Follow on X: @MPIPresident | @sparvell | @MicrosoftEDU | @bamradionetwork |@jonHarper70bd
Related Resources: The AI Toolkit | Meet Mid- Pacific Mike | AI Literacy at Scale: K-to-Career Access That Delivers Real Student Outcomes |
Paul Turnbull is the CEO of Mid-Pacific Institute, an independent, college-preparatory school from Preschool through 12th grade, known for helping students become innovators, artists, and individuals. Turnbull is a former public school principal and superintendent who has been recognized as a top 100 ed tech influencer for creating the Immersive Technology Program at Mid-Pacific Institute, which EdTech Digest named a trend-setter in immersive technology education in the United States.
-
In this conversation, Keith Kruger, CEO of CoSN, speaks directly to the questions many school leaders and education technologists are asking right now: How do we adopt AI without rushing into it? Kruger emphasizes thoughtful implementation over a race to be first. Topics include looking beyond the classroom, using AI to solve educator retention and recruitment, and using Agentic AI to solve school administrative challenges. The discussion covers the speed bumps small and mid-size districts face, and why thoughtful implementation matters more than being first. The conversation offers practical guidance for district leaders trying to balance innovation, ethics, and real classroom impact as AI reshapes education.
Follow on X: @cosn @keithkrueger @sparvell @MicrosoftEDU @bamradionetwork @jonHarper70bd
Related Resources: GAI Ready Checklist | AI for education | Microsoft Learn
Keith R. Krueger is CEO of the Consortium for School Networking (CoSN), a nonprofit professional association organization that serves as the voice of K-12 EdTech leaders in North America. CoSNâs mission is to empower educational leaders to leverage technology to realize engaging learning environments. He was selected by EdTech magazine for its 2021 K-12 IT Influencers list. In 2016, Technology & Learning selected him as one of the âbig 10â most influential people in ed tech, and the Center for Digital Education identified him as a Top 30 Technologist/Transformer/Trailblazer. In 2008, he was selected by eSchool News as one of ten people who have had a profound impact on educational technology over the last decade. In 2016, he received a Special Recognition award from the Council of Great City Schools.
-
This AI-powered 2025 review of SuperSpeaks with Mark Sparvell recaps the evolution of a new genre of blended learning, marrying artificial intelligence with our uniquely human needs. The conversations covered a range of this yearâs relevant topics. AIâs impact on cognitive skills, the importance of emotional intelligence, and how school leaders can leverage AI as a tool while navigating budget constraints. The discussion highlights AIâs dual nature as both a potential crutch and a means to enhance human skills, underscoring the need for responsible use and innovative thinking in educational settings. Mic Drop is a pilot project from BRNâs Gen AI Podcast Labs. The first iteration is promising, and we look forward to improving the channel as the technology evolves. See an error or have a suggestion? Leave your comments below.
Related Channel: Listen to SuperSpeaks
Listen to all 2025 Mic Drop Episodes
Related Resources: AI for education: Resources and learning opportunities | The Confidence Trap: Why AI makes us feel smarter, act faster, and think less | Microsoft Education AI Toolkit | The Impact of Generative AI on Critical Thinking | Dealing with Feeling â Marc Brackett | http://aka.ms/SEL |Thinking about Thinking | Lost in Automatic Translation | More examples of whatâs working
-
As public school systems face growing budget shortfalls, we speak with the CIO of Broward County Schools about how the district found ways to say yes to innovation when the budget said no. Trey Davis shares the unique challenges of leading technology in one of the nationâs largest school districts and offers insights on adopting AI, designing effective organizational structures, and leveraging partnerships to drive efficiency. The conversation also explores how technology is reshaping learning environments and financial management.
Follow on X: @sparvell @jonHarper70bd @bamradionetwork
Related Resources: More examples of what's working
Trey Davis is the CIO of Broward County Schools in Florida, and a transformative, business-centered technology leader with extensive global experience aligning information systems with organizational strategy. He has held multiple international residencies across APAC, EMEA, LATAM, and North America, helping public- and private-sector organizations achieve measurable value from their IT investments. Treyâs expertise spans global IS strategy and governance, portfolio management, strategic sourcing, infrastructure and application management, and information security. He has served as Chief Executive Officer, Chief Information Officer, Chief Information Security Officer, Chief Technology Officer, and trusted advisor to C-suite leaders and boards, bringing a pragmatic, outcomes-driven approach to large, complex organizations.
-
In this conversation, we talk about what it actually feels like to teach, learn, and communicate in a world where humans and AI are increasingly talking to each other. The speaker shares personal experiences with language technologies and the unexpected ways AI can stumble over figurative languageâthe same kinds of misunderstandings we see with students every day. We dig into how culture and bias shape the way AI âunderstandsâ language, and what that means in real classrooms. Most importantly, the discussion helps educators see where AI can support learningâand where human judgment, and context matter most. The conversation emphasizes the importance of understanding AIâs limitations and using it as a tool for enhancing learning rather than replacing essential skills.
Follow on X: @sparvell @jonHarper70bd @VeredShwartz @bamradionetwork
Dr. Vered Shwartz is an Assistant Professor of Computer Science at the University of British Columbia and a Canadian Institute for Advanced Research (CIFAR) AI chair at the Vector Institute. She specializes in natural language processing and artificial intelligence (AI), and conducts research towards the fundamental goal of building AI models capable of human-level understanding of natural language.
-
How Ccan AI help make reflecting on our teaching practices more visible and meaningful? How can AI help us identify pedagogical gaps, blind spots, or determine when itâs time to change directions and try another approach? Listen in as we discuss how engaging in meta-discussions with generative AI can help sharpen our teaching practices and identify pitfalls to achieve the best results.
Follow on X: @sparvell @jonHarper70bd @PetersHinton @bamradionetwork
Related Resources: Thinking about Thinking
Dr. Vanessa Peters Hinton is a senior learning scientist at Digital Promise, where she explores how generative AI and digital tools can support deeper, more meaningful learning. She holds a Ph.D. in Knowledge Media Design and an M.A. in Technology and Learning from the University of Torontoâs Ontario Institute for Studies in Education. Her work blends UX design and learning sciences to design technology-driven learning experiences that foster engagement, motivation, and agency from K-12 through higher education.
-
Professor Mark Brackett discusses a new framework for helping students manage their emotions. He explores the roles of emotional regulation and intelligence, showing how educators benefit from understanding and teaching these concepts. He explains the difference between emotions, feelings, and moods, and how personality traits influence emotional responses. The discussion also touches on the impact of AI on emotional skills, the importance of early education in developing emotional intelligence, and practical strategies for emotional regulation.
Follow on X: @marcbrackett @sparvell @jonHarper70bd @bamradionetwork
Resources: Dealing with Feeling â Marc Brackett | http://aka.ms/SEL
Marc Brackett, Ph.D., is the founding director of the Yale Center for Emotional Intelligence and a professor in the Child Study Center at Yale University. His research focuses on the role of emotional intelligence in learning, decision making, creativity, relationships, health, and performance. He has published over 150 scholarly articles, received numerous awards, and is featured regularly in popular media outlets such as the New York Times, Good Morning America, CBS This Morning, and The Today Show. Marc serves on a number of boards, including the Collaborative for Academic, Social, and Emotional Learning (CASEL), the nonprofit that founded the field of social and emotional learning (SEL). Marc also consults regularly with corporations, including Facebook, General Electric, Google, Microsoft, and Pinterest, on integrating emotional intelligence principles into employee training and product design, and is co-founder of Oji Life Lab, a digital emotional intelligence learning system for businesses. Marc is the author of Permission to Feel: Unlocking the Power of Emotions to Help our Kids, Ourselves, and our Society Thrive, published by Celadon (Macmillan), which is being translated into 15 languages. His new book is Dealing with Feeling.
-
In this conversation, Mark Sparvelle and Professor Dr. Michael Gerlich discuss the impact of AI on critical thinking and cognitive processes. They explore the concept of cognitive offloading, where individuals rely on AI for decision-making, potentially diminishing their ability to think critically. The discussion highlights the importance of fostering critical thinking in education, the convenience of generative AI, and the need for a balance between efficiency and human skills in the age of AI. Gerlich emphasizes the necessity of training future generations to avoid the confidence trap, where individuals with lower self-confidence are more likely to trust AI outputs without scrutiny.
Prof. Dr. Michael Gerlich, Ph.D., MBA (University of Cambridge) is the Head of Center for Strategic Corporate Foresight and Sustainability / Head of Executive Education and Senior Faculty at SBS Swiss Business School. Besides, his responsibility as Head of Center for Strategic Corporate Foresight and Sustainability he leads the Executive Education Program of SBS. In addition, Prof. Dr. Gerlich teaches several business and management courses in our MBA, Master and Bachelor programs. Besides his teaching activities he supervises DBA students. For more than 25 years, he has worked as an adviser to the President and the Prime Minister of Kyrgyzstan, the Cabinet of Ministers in Uzbekistan and various Ministers for economic affairs in Azerbaijan, in addition to holding leading positions within GIZ / KfW (the German Development Bank) ,the International Finance Corporation and the private sector.
-
In this conversation, Jake Hoffman, a senior principal researcher at Microsoft, discusses the intersection of AI, cognition, and education. He explores how machine learning has evolved, the importance of augmenting human cognition with AI tools, and the impact of these technologies on student learning and productivity. Key findings from research on AIâs role in education highlight the effectiveness of tutoring support and the significance of learning strategies that promote long-term retention. The conversation also delves into the productivity effects of generative AI and how these tools can enhance critical thinking and decision-making in educational settings.
Follow on Twitter: @sparvell | @jonHarper70bd @MicrosoftEDU @bamradionetwork
Related Resources: AI for education: Resources and learning opportunities
Jake Hofman is a Senior Principal Researcher at Microsoft Research in New York City(opens in new tab), where his work in computational social science involves applications of statistics and machine learning to large-scale social data. Prior to joining Microsoft, he was a member of the Microeconomics and Social Systems group at Yahoo! Research. Jake is also an Adjunct Assistant Professor of Applied Mathematics at Columbia University, where he has designed and taught classes on a number of topics ranging from biological physics to applied machine learning. He holds a B.S. in Electrical Engineering from Boston University and a PhD in Physics from Columbia University.
-
We invited the creators of the five prominent models for teaching with technology to help us compare and contrast their features in the context of generative AI. Join us for a side-by-side exploration of SAMR, TPACK, and the Triple E technology integration frameworks and emerging frameworks, SETI and GenAI-U. In Part Two, we get a better understanding of where each model is best suited to bring generate AI into your class, course, or school district.
Follow on Twitter: @CFKurban @sparvell @hcrompton @lkolb @punyamishra @jonHarper70bd @MicrosoftEDU @bamradionetwork
Related Resources: The GenAI-U Framework | The SETI Framework| SAMR | TPACK | Triple-E | 21st century learning design â Training | Microsoft Learn | Hacking Gen AI in Education
Dr. Punya Mishra (punyamishra.com) is the Associate Dean of Scholarship & Innovation at the Mary Lou Fulton Teachers College at Arizona State Univer ity. He has an undergraduate degree in Electrical Engineering, two Masters in Visual Communication and Mass Communications, and a Ph.D. in Educational Psycho gy. He co-developed the TPACK framework, which is described as âthe most significant advancement in technology integration in the past 25 years.â
Dr. Caroline Fell Kurban is the advisor to the Rector at MEF University. Caroline was the founding Director of the Center of Research and Best Practices for Learning and Teaching (CELT) at MEF University. She also teaches in the Faculty of Education. She holds a BSc in Geology, an MSc in TESOL, an MA in Technology and Learning Design, and a PhD in Applied Linguistics. Fell Kurban is currently the head of the Global Terminology Project and the GenAI-U technology integration framework creator.
Dr. Liz Kolb is a clinical professor at the University of Michigan. She is the author of several books, including Cell Phones in the Classroom and Help Your Child Learn with Cell Phones and Web 2.0. Kolb has been a featured and keynote speaker at conferences throughout the U.S. and Ca ada. She is the creator of the Triple E Framework for effective teaching with digital technologies, and she blogs at cellphonesinlearning.com.
Dr. Puentedura is the Founder and President of Hippasus, a consulting practice focusing on transformative applications of information technologies to education. He has implemented these approaches for over thirty years at a range of K-20 institutions and health and arts organizations. He is the creator of the SAMR model for selecting, using, and evaluating technology in education, guiding multiple projects worldwide.
Dr. Helen Crompton is the Executive Director of the Research Institute for Digital Innovation in Learning at ODUGlobal and Professor of Instructional Technology at Old Dominion University. Dr. Crompton earned her Ph.D. in educational technology and mathematics education from the University of North Carolina at Chapel ill. Dr. Crompton is recognized for her outstanding contributions and is on Stanfordâs esteemed list of the worldâs Top 2% of Scientists. She is the creator of the SETI framework. She frequently serves as a consultant for various governments and bilateral and multilateral organizations, such as the United Nations and the World Bank, on driving meaningful change in the field of educational technology.
-
For the first time, the creators of the SAMR, TPACK, and the Triple E technology integration frameworks met to discuss their widely adopted models and how they fit in the age of generative AI. They are joined by the creators of two emerging frameworks, SETI and Gen AI-U. In this series, we explore all five models, their differences, and where each best fits. Part one unpacks what these frameworks enable educators and school leaders to do. Together, the panel reveals why small and big thinking is required to teach effectively with Gen AI.
Follow on Twitter: @CFKurban @sparvell @hcrompton @lkolb @punyamishra @jonHarper70bd @MicrosoftEDU @bamradionetwork
Related Resources: The GenAI-U Framework | The SETI Framework| SAMR | TPACK | Triple-E | 21st century learning design â Training | Microsoft Learn | Hacking Gen AI in Education
Dr. Punya Mishra (punyamishra.com) is Associate Dean of Scholarship & Innovation in the Mary Lou Fulton Teachers College at Arizona State Universit. He has an undergraduate degree in Electrical Engineering; two Masters degrees, in Visual Communication and Mass Communications; and a Ph.D. in Educational Psychology. He co-developed the TPACK framework, described as being âthe most significant advancement in the area of technology integration in the past 25 years.â
Dr. Caroline Fell Kurban is the advisor to the Rector at MEF University. Caroline was the founding Director of the Center of Research and Best Practices for Learning and Teaching (CELT) at MEF University. She also teaches on the Faculty of Education. She holds a BSc in Geology, MSc in TESOL, MA in Technology and Learning Design, and a PhD in Applied Linguistics. Fell Kurban is currently the head of the Global Terminology Project, and is the creator of the GenAI-U technology integration framework.
Dr. Liz Kolb is a clinical professor at the University of Michigan. She is the author of several books, including Cell Phones in the Classroom and Help Your Child Learn with Cell Phones and Web 2.0. Kolb has been a featured and keynote speaker at conferences throughout the U.S. and Canada. She is the creator of the Triple E Framework for effective teaching with digital technologies, and she blogs at cellphonesinlearning.com.
Dr. Puentedura is the Founder and President of Hippasus, a consulting practice focusing on transformative applications of information technologies to education. He has implemented these approaches for over thirty years at a range of K-20 institutions, health and arts organizations. He is the creator of the SAMR model for selecting, using, and evaluating technology in education, which guides the work of multiple projects worldwide.
Dr. Helen Crompton is the Executive Director of the Research Institute for Digital Innovation in Learning at ODUGlobal, and Professor of Instructional Technology at Old Dominion University. Dr. Crompton earned her Ph.D. in educational technology and mathematics education from the University of North Carolina at Chapel Hill. Recognized for her outstanding contributions, Dr. Crompton is on Stanfordâs esteemed list of the Top 2% of Scientists in the World. She is the creator of the SETI framework and frequently serves as a consultant for various governments and bilateral and multilateral organizations, such as the United Nations and the World Bank, on driving meaningful change in the field of educational technology.
-
Dr. Caroline Fell Kurban discusses her study of various educational technology integration frameworks and her current focus on integrating AI into higher education. The conversation explores the importance of a pedagogical approach that enhances student engagement and interaction with generative AI, the need for updated frameworks in technology integration, and the development of the GenAI-U framework tailored for AI education. Dr. Fell Kurban shares insights on the evolving role of educators in navigating the challenges and opportunities Gen AI brings to the educational landscape.
Dr. Caroline Fell Kurban is the advisor to the Rector at MEF University. Caroline previously held the position of Director of the Center of Research and Best Practices for Learning and Teaching (CELT) at MEF University. She also teaches on the Faculty of Education. She has taught, trained and managed in schools and universities in her twenty-year career. She holds a BSc in Geology, MSc in TESOL, MA in Technology and Learning Design, and a PhD in Applied Linguistics. Fell Kurban is currently the head of the Global Terminology Project, and a board member, and also the Chief Academic Officer for the Academy of Active Learning Arts and Sciences. She is also a peer reviewer for the journal Interactive Learning Environments.
-
Dr. Helen Crompton discusses effective technology integration in education and the limitations of existing models. She introduces the SETI framework, which emphasizes the importance of a shared responsibility for technology integration and considers the various factors that impact its effectiveness. The framework includes concentric circles representing the educator, the school environment, and the national context. Dr. Crompton highlights the need for policies, tech support, training, and access to technology tools to support effective integration. The SETI framework has been well-received by educators and school districts.
Follow on Twitter: @sparvell @hcrompton @MicrosoftEDU @bamradionetwork @jonHarper70bd.
Related Resources: The SETI Framework| 21st century learning design â Training | Microsoft Learn | Hacking Gen AI in Education
Dr. Helen Crompton is the Executive Director of the Research Institute for Digital Innovation in Learning at ODUGlobal, and Professor of Instructional Technology at Old Dominion University. Dr. Crompton earned her Ph.D. in educational technology and mathematics education from the University of North Carolina at Chapel Hill. Recognized for her outstanding contributions, Dr. Crompton is on Stanfordâs esteemed list of the Top 2% of Scientists in the World. Her exceptional work in technology integration has garnered her numerous accolades, including the SCHEV award for the Outstanding Professor of Virginia. Dr. Cromptonâs expertise extends beyond academia to practice, as she frequently serves as a consultant for various governments, bilateral and multilateral organizations such as the United Nations and the World Bank, leveraging her knowledge and experience to drive meaningful change in the field of educational technology.
-
There are growing signs that conventional thinking about introducing technology into classrooms is shifting. Some educators believe that established technology integration frameworks need to evolve to meet the unique features of generative AI. At ISTE Live 24, we interviewed several technologists and school leaders to get a quick take on whether we're seeing a blip or an emerging trend.
Follow on Twitter: @sparvell @MicrosoftEDU @bamradionetwork @jonHarper70bd.
Related Resources: SAMR: Next Level | 21st century learning design - Training | Microsoft Learn | Hacking Gen AI in Education
Random technologists and school leaders from the exhibit hall at ISTE Live 24. We spoke with a general education teacher, a stem teacher, a technology integration specialist, a Chief Technology Officer, and a Director of Innovation.
-
Some educators view the SAMR model for technology use in teaching as a âhill to climbâ with the aim of getting to the top. The founder clarifies this misunderstanding and shares smart ways to use the model to suit your unique teaching needs in the age of generative AI.
Follow on Twitter: @sparvell @MicrosoftEDU @bamradionetwork @jonHarper70bd.
Related Resources: SAMR: Next Level | Reimagine Education | Microsoft Education Toolkit | Blindsided by AI @ ISTE Live 24
Dr. Puentedura is the Founder and President of Hippasus, a consulting practice focusing on transformative applications of information technologies to education. He has implemented these approaches for over thirty years at a range of K-20 institutions, health and arts organizations. He is the creator of the SAMR model for selecting, using, and evaluating technology in education, which guides the work of multiple projects worldwide. He is also the author of the EdTech Quintet, a categorization of the core technology toolset required for education. His current work explores new directions in antifragile design and emergent applications of AI tools in learning.
-
Thanks to generative artificial intelligence, John Hattie believes the conventional idea of 21st-century skills is outdated. In this discussion, he draws on research to update the list and identify the four essential skills all students will need in the age of Gen AI.
Follow on Twitter: @sparvell @MicrosoftEDU @bamradionetwork @jonHarper70bd
Related Resources: Visible Learning: The Sequel | Reimagine Education | Microsoft Education Toolkit
Professor John Hattie is an education researcher. His research interests include performance indicators, measurement models, and teaching and learning evaluation. John Hattie became known to a broader public with his two books, Visible Learning and Visible Learning for Teachers. Visible Learning is a synthesis of more than 2,100 meta-analyses drawn from more than 130,000 studies involving more than 400 million students from all around the world. According to John Hattie, Visible Learning results from 15 years of research about what works best for learning in schools. TES once called him âpossibly the worldâs most influential education academic.â
-
How applicable is the SAMR model for selecting, using, and evaluating Generative AI in education? Are any adaptations needed? If so, where and what? We checked in with the creator of SAMR for an update and learned how he is using and supplementing the framework in the age of Gen AI.
Follow on Twitter: @sparvell @MicrosoftEDU @bamradionetwork @jonHarper70bd.
Related Resources: SAMR: Next Level | Reimagine Education | Microsoft Education Toolkit | Blindsided by AI @ ISTE Live 24.
Dr. Puentedura is the Founder and President of Hippasus, a consulting practice focusing on transformative applications of information technologies to education. He has implemented these approaches for over thirty years at a range of K-20 institutions, health and arts organizations. He is the creator of the SAMR model for selecting, using, and evaluating technology in education, which guides the work of multiple projects worldwide. He is also the author of the EdTech Quintet, a categorization of the core technology toolset required for education. His current work explores new directions in antifragile design and emergent applications of AI tools in learning.
-
John Hattie discusses the impact of technology in classrooms and the importance of collective efficacy in teaching. Hattie, author of Visible Learning, emphasizes the need for teachers to understand their students' learning processes and create a safe environment for them to express their struggles. He also highlights the potential of technology, particularly when used in pairs, to enhance learning. Hattie suggests that social media can be a powerful tool for students to discuss their learning difficulties. He also mentions the potential of AI chatbots in facilitating students' learning process.
Follow on Twitter: @sparvell @MicrosoftEDU @bamradionetwork @jonHarper70bd
Related Resources: Visible Learning: The Sequel | AI for education | Microsoft Learn
Professor John Hattie is a researcher in education. His research interests include performance indicators, models of measurement and evaluation of teaching and learning. John Hattie became known to a wider public with his two books Visible Learning and Visible Learning for teachers. Visible Learning is a synthesis of more than 800 meta-studies covering more than 80 million students. According to John Hattie Visible Learning is the result of 15 years of research about what works best for learning in schools. TES once called him âpossibly the worldâs most influential education academicâ.
- Laat meer zien
