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Powerful Learning Podcast

Powerful Learning Podcast

著者: Luke Rowe Ph.D.
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This is a podcast about evidence-based teaching and the science of learning. I’m your host, Luke Rowe, and I’m a lecturer and learning scientist in Melbourne, Australia. I’m extremely passionate about the education and the learning sciences, and I started this podcast with the hope of sharing this passion with you! The mission here at Powerful Learning is to help you know more, do more, and be more. Come join me and my guests on a learning journey into topics such as feedback, metacognition, memory, intelligence, health and wellbeing, emerging and established educational technologies, and motivation – as we explore their broader implications for educators and students. The current plan is to post shows at least once per month. If you have any comments, suggestions, or ideas, I welcome your feedback by sending me a DM on Twitter / X, posting a comment in one of my YouTube clips, or following me on Instagram. May you enjoy listening to the Powerful Learning Podcast!Luke Rowe, Ph.D. 個人的成功 自己啓発
エピソード
  • Self-Regulated Learning Explained: How to Become Your Own Teacher
    2025/07/31

    We explore one of the most powerful and underrated concepts in education: Self-Regulated Learning. Backed by decades of research, Self-Regulated Learning goes beyond “study tips” and reveals how expert learners take charge of their thinking, motivation, and environment to master any subject.Drawing on foundational theories, cognitive models, and affective science, this video unpacks what Self-Regulated Learning is, why it matters, and how anyone can become their own best teacher.Along the way, we cover:• What self-regulated learning really means (it’s not just “trying harder”)• Why Self-Regulated Learning is considered a “gift that keeps giving” in the learning sciences• The difference between metacognition and self-regulation• 3 landmark models of Self-Regulated Learning• How learners manage motivation, emotions, and study environments• Practical strategies to plan, perform, and ponder more effectively (Luke's 3P Model)• Why great learners are like "choice architects" of their own learning environmentsWhether you’re a student, educator, or lifelong learner this episode will change how you think about learning.⏱️ Chapters:00:00 – Intro: The Gift That Keeps Giving01:07 – What Is Self-Regulated Learning?04:40 – The Definitions: Zimmerman, Pintrich, Winne05:00 – Model 1: Zimmerman’s Cyclical Model06:12 – Model 2: Pintrich’s MSLQ Framework08:00 – Model 3: Winne & Hadwin’s Cognitive Model09:20 – The 3 Ps: Planning, Performing, Pondering10:30 – Self-Regulated Learning vs. Metacognition: What's the Difference?11:05 – Monitoring & Regulating Affective States (Feelings, Emotions, and Motivation)12:45 – Monitoring & Regulating Your Learning Environment15:00 – Brain Science (Executive Functions)20:30 – Building the Teacher Within21:50 – Recap: Why Self-Regulated Learning Matters🎓 About MeI’m Dr. Luke Rowe, PhD in learning sciences. I study intelligence, motivation, and the science of learning, and my mission is to help students and teachers apply evidence-based strategies to real-world learning: To help them know more, do more, and be more. ✅ Want More?🎙️ Powerful Learning Podcast – on Spotify, Apple, & YouTube Podcasts👍 Like this video if you value learning about learning🔔 Subscribe for more content on the science of self-regulated learning💬 Comment below with how you plan to apply self-regulated learning in your own life📢 Share this with anyone who wants to take charge of their learning journeyDISCLAIMER: The views expressed in this episode are solely those of the creator, Luke Rowe, and do not reflect the views or interests of any past, present, or future institutions or employers.

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    25 分
  • 7 Big Problems with IQ Tests (That No One Talks About)
    2025/07/27

    We take a critical look at some of the biggest problems with IQ testing: from statistical circularity and cultural bias, to inflated correlations and ethical misuse. Drawing on emerging research, historical controversies, and new theoretical frameworks, we explore 7 major critiques of intelligence measurement today (and a 'BONUS' at the end).💡 Along the way, we cover:• Why many IQ tests may be measuring what they define • The rise of network models and alternatives to Spearman’s g • The shrinking correlations between IQ and life outcomes • How culture, history, and social context shape IQ scores • Why intelligence isn’t fixed and what this means for testing • Messick’s Law and the ethical consequences of testing • And whether practicing IQ tests invalidates them (spoiler: not quite!)If you’ve ever wondered whether IQ tests are valid, reliable, or even meaningful, this video will interest you.⏱️ Chapters:00:00 – Intro: What’s Wrong with IQ Testing?01:45 – Problem 1. Circularity Problem04:25 – Problem 2. Alternative Models of Intelligence08:10 – Problem 3. Inflated Correlations10:38 – Problem 4. Cultural and Linguistic Bias12:35 – Problem 5. Nonlinearity and Diminishing Returns15:13 – Problem 6. Instability Across Lifetimes and Populations19:50 – Problem 7. Messick’s Law and Consequential Validity24:15 – BONUS: Can You Game an IQ Test?29:13 – Outro: Use IQ Tests Like a Tool, Not a Verdict🎓 About MeI’m Dr. Luke Rowe, PhD in learning sciences, and I explore how intelligence, motivation, and evidence-based practices shape learning outcomes. This channel is for teachers, students, and anyone curious about how we learn—and how we can do it better.✅ Want More?🎥 Watch the previous video in this series on intelligence and IQ testing: https://youtu.be/c0nMX41l9Zk?si=SSxt3L_WC7NgipVa🎙️ Powerful Learning Podcast – on Spotify, Apple, & YouTube 👍 Like to support the channel and share the love🔔 Subscribe for more on the science of learning💬 Comment below with your thoughts 📢 Share this with someone questioning the validity of IQ tests (or somebody bragging about how much of a 'genius' they are!)DISCLAIMER: The views expressed in this episode are solely those of the creator, Luke Rowe, and do not reflect the views or interests of any past, present, or future institutions or employers.

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    32 分
  • How We Measure Intelligence (And How We Get It Wrong)
    2025/07/24

    In this episode, we take a measured look at the history, science, and ongoing debate surrounding IQ testing. From the early days of phrenology and Galton’s eugenic ideas to the development of modern psychometric models like the Cattell-Horn-Carroll theory, we trace how intelligence has been defined, measured, and contested over time. No pseudoscientific hyperbole;just some balanced, nuanced, and expert-led science. 📚 Chapters:00:00 – Introduction: What is IQ, really?01:20 – The Origins of Intelligence Measurement (and Dark History)04:00 – The First True IQ Test (and Formula)04:40 – The Problems with the 'IQ Formula'05:50 – Norm-Referenced and Standardized IQ Testing 07:20 – Spearman’s g, the 'g factor', and the 'Positive Manifold'09:40 – How to Create and Validate an IQ Test10:41 – IQ Test Example Questions (loaded on your 'g factor')15:10 – The Globalization of IQ Tests (and some UGLY truths)18:20 – Cultural Fairness and Bias in IQ Testing (Fluid vs Crystallised Intelligence)26:30 – The Structure of IQ Today (CHC Theory)26:30 – The Structure of IQ Today (CHC Theory)29:30 – What Do IQ Scores Actually Mean?30:05 – Outro: IQ and Causality CaveatsAlong the way, we consider:*The origins of IQ and its evolution from Binet’s educational aims to Wechsler’s multi-domain models*The varied ways IQ tests have been used—for support, for sorting, and at times, for exclusion*What Spearman’s g actually represents, and how it shaped the structure of modern tests*The distinction between fluid and crystallised intelligence, and why it matters*Some examples of IQ test items that have been scientifically validated to tap your 'g factor'*How modern statistical methods are trying to address longstanding limitations with cultural biasWhether you're a student, teacher, psychologist, or simply interested in the science of human potential, this video offers a thoughtful exploration of what IQ tests can (and can’t) tell us. A Note on Scientific Integrity: If, like me, you’re wary of the pseudoscientific noise that often surrounds topics like intelligence, rest assured that this video has been reviewed for accuracy and balance by Luke Rowe, who holds a Ph.D. on the topic of intelligence, its role in learning and social dynamics, and psychometric testing. The goal is to avoid the two common traps found in popular commentary: the overclaim that IQ explains *everything*, and the counterclaim that IQ explains *nothing*. Both positions are misleading. As is often the case in science, the reality is more complex (and more interesting!). The approach here is grounded in the general consensus of contemporary intelligence research, while acknowledging its many nuances, limitations, and ongoing debates.Want More?Stay tuned for upcoming videos exploring the biggest problems with IQ testing, how we define and measure notions of 'gifted' or 'genius', and how (and whether) we can improve intelligence (even if we can boost our IQ). 🎓 About Me: I’m Luke Rowe, Ph.D. in learning sciences, and I’m passionate about sharing the latest insights from brain and learning science to help you learn, teach, and thrive.👍 Enjoyed the episode? share the love by 'liking' or leaving a positive review. Subscribe 🔔 for more on the science of learning and intelligence.Comment 💬 below with your thoughts or questions.🔗 Stay Connected: Available on Spotify, Apple Podcasts, and YouTube.📢 Share this video with someone who wants to understand intelligence!DISCLAIMER: The views expressed in this episode are solely those of the creator, Luke Rowe, and do not reflect the views or interests of any past, present, or future institutions or employers.

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    31 分
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