Edtervene Talks

Lydia Elliott, EdD
  • 5.0（1則評分）
  • 教育
  • 每週更新

Welcome to Edtervene, the podcast where higher education meets transformation — one teaching strategy at a time. Hosted by Dr. Lydia Elliott, Edtervene offers practical, research-informed ways to improve college teaching through intentional interventions. Each episode tackles a common instructional approach and reimagines it for today’s learners — integrating tools, reflection, innovation, and inclusivity. Whether you're a seasoned professor, new faculty member, or campus leader looking to support teaching growth, Edtervene equips you with actionable ideas to create deeper learning, foster student engagement, and evolve your practice — without overhauling everything. Think of it as your weekly teaching check-in, where you reflect, retool, and renew your approach to higher ed — with curiosity, care, and purpose.

集數

  1. 6月13日

    The Experts We May Never Create

    What happens when a generation gains access to answers before developing expertise? In this episode, Dr. Lydia Elliott explores a growing concern in the age of artificial intelligence: the possibility that AI may improve performance while reducing the opportunities required to develop judgment, critical thinking, and expertise. As intelligent systems increasingly perform tasks once used to cultivate professional competence, what becomes of the experts those experiences were meant to create? Drawing on recent research into AI adoption and workforce readiness, this conversation examines the difference between access to knowledge and the formation of expertise. Dr. Elliott challenges listeners to consider whether efficiency alone is enough—and what may be lost when learning, decision-making, and problem-solving are increasingly outsourced to machines. Key Question:What if the greatest cost of AI is not the jobs we lose, but the experts we never create? ReferenceDeloitte. (2026). State of Generative AI in the Enterprise, Q1 2026. Deloitte Insights. https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/services/consulting/2026/state-of-ai-2026.pdf

    8 分鐘

  2. 6月13日

    Borrowed Intelligence

    What happens when access to answers begins to replace the development of expertise? In this episode, Dr. Lydia Elliott explores the growing tension between artificial intelligence and human intelligence. As AI makes information instantly accessible, many tasks become easier, faster, and more efficient. But does access to intelligence produce understanding, judgment, and expertise? Drawing on recent research into AI's impact on learning and skill development, this conversation examines the difference between having immediate access to information and cultivating the ability to think critically with it. Dr. Elliott explores how reliance on AI may influence memory, problem-solving, and decision-making, inviting listeners to consider what is gained through convenience—and what may be lost when technology begins to do the thinking for us. Key Question:When the intelligence is borrowed, who owns the judgment? ReferenceBastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2026). Generative AI Can Harm Learning. arXiv. https://arxiv.org/abs/2604.04721

    7 分鐘

  3. 6月13日

    The Belief You Think Is Yours

    Artificial intelligence does more than provide information. Increasingly, it provides explanations, interpretations, recommendations, and perspectives that can influence how people understand the world around them. But what happens when those interpretations begin shaping not only what we know, but what we believe? In this episode, Dr. Lydia Elliott explores the emerging concept of belief offloading, the process by which individuals may begin outsourcing aspects of belief formation, maintenance, and revision to AI systems. Drawing from recent scholarship in human-AI interaction, this conversation examines how AI-generated interpretations can move beyond information retrieval and become integrated into personal judgment, decision-making, and worldview development. Using the lens of Experiential Intelligence (ExInt), Dr. Elliott discusses why the future challenge of AI may not be information access, but preserving human agency, judgment, and ownership of belief. As AI becomes increasingly persuasive, conversational, and personalized, the question is no longer simply whether an answer is correct. The question becomes: What is this answer encouraging us to believe? Together, we will explore the implications of belief offloading for learning, leadership, decision-making, and expertise in an age where machines can generate answers instantly but cannot generate wisdom, experience, or judgment. Reference Guingrich, R. E., Mehta, D., & Bhatt, U. (2026). Belief Offloading in Human-AI Interaction. arXiv. https://arxiv.org/abs/2602.08754 Referenced in this Episode Cognitive offloading versus belief offloading The three conditions of belief offloading: uptake, formation, and integration How AI-generated interpretations can become embedded within broader belief systems The relationship between belief formation, action, and identity Epistemic agency and the ownership of judgment in human-AI interaction Risks associated with large-scale dependence on AI-mediated belief formation The implications of belief offloading for education, leadership, and expertise Key Question In a world where AI can provide answers instantly, how do we ensure that our beliefs remain the product of human judgment rather than the byproduct of algorithmic influence?

    8 分鐘

  4. 6月13日

    AI Makes You Better, Until it Doesn't

    AI Makes You Better Until It Doesn't Artificial intelligence can make us faster, more productive, and more capable. It can help us write, summarize, analyze, brainstorm, and solve problems in seconds. The benefits are real. But what happens when improved performance begins to replace the very thinking processes that develop expertise? In this session, Dr. Lydia Elliott explores findings from recent research examining the relationship between AI use, performance, and learning. Drawing on evidence that AI-assisted users often demonstrate stronger immediate performance while experiencing weaker independent performance once assistance is removed, participants will examine the difference between productivity and proficiency, performance and development, and assistance and dependency. Using the framework of Experiential Intelligence (ExInt), this session challenges the assumption that better outputs always reflect greater understanding. Participants will explore how AI can enhance performance while simultaneously creating conditions that may hinder the development of judgment, critical thinking, and expertise if used without intentional reflection and engagement. Together, we will examine a critical question for the AI era: If AI makes us better today, what happens when it quietly reduces our ability to perform without it tomorrow? Reference Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2026). Generative AI can harm learning. arXiv. https://arxiv.org/abs/2604.04721 Key Takeaways Distinguish between improved performance and genuine learning. Recognize the signs of cognitive offloading and dependency. Understand how AI can support—or hinder—the development of expertise. Explore the role of Experiential Intelligence in an age of intelligent machines. Identify practical strategies for using AI without outsourcing judgment.

    9 分鐘

  5. 2025/06/29

    Episode 7: Adaptive Case Analytics

    In this episode of Edtervene, Dr. Lydia Elliott introduces Adaptive Case Analytics — a dynamic evolution of the traditional case method that integrates real-time data, decision-based simulations, and iterative feedback. Instead of working through static scenarios, students navigate shifting variables and consequences, creating deeper engagement and more authentic problem-solving. Whether you're teaching in business, health, education, or the sciences, you'll discover how adaptive casework mirrors the complexity of professional decision-making — and how to implement it without overwhelming your course structure.

    6 分鐘

  6. 2025/06/29

    Episode 6: Complex Systems Problem Solving

    In this episode of Edtervene, Dr. Lydia Elliott explores how to move beyond traditional problem-based learning by introducing students to Complex Systems Problem Solving — an approach that mirrors the uncertainty, interdependence, and iteration of real-world challenges. You’ll learn how to design approachable, classroom-ready problems that help students think systemically, collaborate across perspectives, and develop adaptive reasoning.This episode offers practical, scalable examples you can implement right away — no massive redesign required.

    5 分鐘

  7. 2025/06/29

    Episode 5: Reflect - Engage - Expand

    Think-Pair-Share is a classroom classic — but let’s be honest, it often feels rushed and shallow. In this episode of Edtervene, we introduce a more intentional and impactful alternative: Reflect–Engage–Expand Cycles. Dr. Lydia Elliott explores how adding reflection before and after peer discussion leads to deeper thinking, greater student engagement, and stronger connections between ideas. You’ll learn how this upgraded strategy builds metacognitive awareness, encourages active listening, and helps students revise their thinking in meaningful ways. Whether you're teaching in-person, online, or hybrid, this episode offers simple tweaks with powerful results — no tech or major redesign required. Tune in to learn how a few extra minutes of reflection can completely transform the way students learn from each other — and themselves.

    7 分鐘

  8. 2025/06/29

    Episode 4: Critical Inquiry and Dialogic Reasoning

    Are your classroom discussions falling flat or stuck in surface-level responses? In this episode of Edtervene, we explore how to move beyond traditional Socratic questioning with a modern, tech-integrated approach: Critical Inquiry and Dialogic Reasoning. Dr. Lydia Elliott breaks down how you can empower students to become questioners, debaters, and critical thinkers using AI-assisted question generation and structured peer dialogue platforms. Whether you’re teaching in person or online, this method helps you scaffold deeper reasoning, support diverse learners, and make classroom conversation more dynamic and equitable. Tune in for practical strategies, easy-to-use tools, and real classroom examples that can help you transform your discussion-based teaching — without adding more to your plate.

    7 分鐘

  9. 2025/06/29

    Episode 3: Collaborative Peer-Led Innovation

    In this episode of Edtervene, we’re flipping the script on traditional peer teaching. What if your students didn’t just review material together — but actually helped create it? Join [Your Name] as we dive into Collaborative Peer-Led Innovation, a bold approach that turns students into co-creators of learning. From designing classroom activities to developing assessments, students take ownership, deepen their understanding, and build real-world collaboration skills along the way. If you're looking to increase engagement, foster critical thinking, and reduce the pressure of doing all the instructional heavy lifting yourself, this episode is packed with practical strategies and easy entry points to help you get started.

    7 分鐘

  10. 2025/06/29

    Episode 2: Hybrid Immersive Learning Environments

    Teaching in a hybrid classroom and feeling like you’re running two courses at once — one in-person, one online? You’re not alone. In this episode of Edtervene, we dive into the growing challenge of keeping students engaged and connected in hybrid learning spaces. Enter Hybrid Immersive Learning Environments — a powerful approach that blends face-to-face and remote instruction into a single, unified, and interactive experience. You’ll learn how to design activities that pull everyone in, whether they’re sitting in front of you or tuning in from miles away. From virtual simulations to real-time collaboration tools, we share practical ideas, tools, and tips to help you create a dynamic, inclusive classroom without doubling your workload. Tune in to discover how you can turn your hybrid teaching struggles into immersive, meaningful learning for all your students.

    7 分鐘

  11. 2025/06/29

    Episode 1: PEAK - Revolutionizing Active Learning

    Welcome to Edtervene! In this episode, we dive into PEAK: Practical Experiential Active Knowledge, a powerful teaching approach that transforms traditional active learning into immersive, real-world experiences. Discover how PEAK engages students through simulations, role plays, and authentic projects that build critical thinking, practical skills, and adaptability for the challenges of today’s world. Whether you’re new to experiential learning or looking to enhance your teaching methods, this episode offers practical tips, inspiring examples, and valuable resources to help you bring PEAK into your college classroom. Tune in and elevate your teaching with Edtervene!

    5 分鐘
  • 共 11 集

評分與評論

簡介

Welcome to Edtervene, the podcast where higher education meets transformation — one teaching strategy at a time. Hosted by Dr. Lydia Elliott, Edtervene offers practical, research-informed ways to improve college teaching through intentional interventions. Each episode tackles a common instructional approach and reimagines it for today’s learners — integrating tools, reflection, innovation, and inclusivity. Whether you're a seasoned professor, new faculty member, or campus leader looking to support teaching growth, Edtervene equips you with actionable ideas to create deeper learning, foster student engagement, and evolve your practice — without overhauling everything. Think of it as your weekly teaching check-in, where you reflect, retool, and renew your approach to higher ed — with curiosity, care, and purpose.

資訊

  • 創作者
    Lydia Elliott, EdD
  • 活躍年代
    2025年 - 2026年
  • 集數
    11
  • 年齡分級
    兒少適宜
  • 版權
    © Copyright 2026 Lydia Elliott, EdD
  • 節目網站
    Edtervene Talks