Edtervene Talks

Lydia Elliott, EdD

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.

Episodes

  1. 6d ago

    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 min
  2. 6d ago

    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 min

Ratings & Reviews

About

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.