Kinwise Conversations in AI copertina

Kinwise Conversations in AI

Kinwise Conversations in AI

Di: Lydia Kumar
Ascolta gratuitamente

A proposito di questo titolo

Artificial intelligence is here: powerful, fast-evolving, and reshaping how we learn and teach. But how do we integrate these tools with intention? How do we ensure they amplify our humanity rather than overshadow it?

Kinwise Conversations dives into these questions every week with educators, principals, district leaders, and learning innovators. We explore real stories: the wins, wake-up calls, ethical crossroads, and practical strategies for using AI wisely in education.

Season 1 focused on AI and the future of work. Season 2 spotlights AI and education—how teachers and students are engaging with AI, how schools are rethinking learning, and how we can prepare students for an AI-powered future while keeping education deeply human.

If you’re an educator, school leader, or simply curious about using technology with more intention, this podcast is for you. Subscribe now and explore more at kinwise.org.Copyright 2025 All rights reserved.
Filosofia Scienze sociali
  • Re-Architecting Education for a Pro-Human AI Future with Babak Mostaghimi
    Jan 28 2026

    Join us for an inspiring conversation with Babak Mostaghimi, Founding Partner at LearnerStudio and the former Assistant Superintendent who led Gwinnett County Public Schools' pioneering AI readiness initiative. Babak guides us through the necessary shift from using AI merely to make broken systems faster, to using it as a tool that unlocks human potential. He shares LearnerStudio’s "Three Horizons" model of innovation, explaining why schools are stuck in an industrial past and how we can re-architect them for a future focused on life, career, and democracy.

    We dive into practical strategies, like the difference between "snorkeling" and "scuba diving" in AI literacy, and why we must "Marie Kondo" our curriculum to make space for what truly matters: our shared humanity. From 7th graders using AI to tackle food insecurity to teachers building their own feedback bots, this episode offers a compelling vision for how we can ensure technology serves the human experience rather than replacing it.

    Key Discussion Points:

    • Pro-Human AI: Babak’s argument against using AI solely for efficiency, "Nobody likes the current system. Why are we making it faster?" and the case for using tools to unlock creativity and connection.

    • The Three Horizons Model: A framework for understanding education's evolution from the industrial model (Horizon 1) to the efficiency/equity movement (Horizon 2), and finally to a learner-centered ecosystem (Horizon 3).

    • Marie Kondo-ing the Curriculum: The necessity of clearing out antiquated content standards to create the psychological safety and time for relationship-driven, real-world learning.

    • Snorkeling vs. Scuba Diving: Why AI readiness cannot be a niche magnet program but must be a universal skill set that allows every student to navigate ("swim"), explore ("snorkel"), or deeply master ("scuba dive") the technology.

    • Agency in Action: Real-world examples of students and teachers taking control, including a 7th grader using the Inkwire tool to investigate food insecurity and educators designing bespoke feedback agents with PlayLab.The Three Horizons of Learning: A Conversation with Babak Mostaghimi

    Mostra di più Mostra meno
    42 min
  • The Skeptic and The Optimist: Navigating AI in Higher Education
    Jan 8 2026

    Join us for a candid debate between two colleagues who view the future of AI in education through very different lenses. We are joined by Dr. Jason Margolis, an AI skeptic who worries about the atrophy of critical thinking, and Dr. Nicole Schilling, an AI optimist who sees these tools as essential scaffolds for complex problem-solving.

    Together, they model the concept of "Critical Friends," engaging in respectful but challenging dialogue on a polarizing topic. We dive deep into the ethics of the "8-minute dissertation," the tension between efficiency and the learning process, and why we might need flexible guidelines rather than rigid policies in this rapidly changing landscape. Whether you are an educator, a leader, or just someone trying to figure out where the human ends and the machine begins, this conversation offers a roadmap for navigating the grey areas of innovation.

    Key Discussion Points:

    • Skeptic vs. Optimist: Jason’s concern about "outsourcing our brains" versus Nicole’s vision of AI as a partner in social constructionism.

    • The "8-Minute Dissertation": A critical look at what is lost when we prioritize the product (the degree) over the process (the struggle of learning).

    • Ethical AI Use: Examples of high-level use, such as training an AI model to act as a rigorous dissertation committee rather than writing the paper for you.

    • Bias and Power: Addressing the "racist undertones" in algorithms and questioning whose interests are really served by the rapid adoption of AI.

    • Policy vs. Guidelines: Why creating rigid policies for fast-moving tech is often futile, and the argument for developing ethical "guidelines" instead.

    • The Critical Friends Model: How to disagree productively and maintain professional relationships in an era of polarized viewpoints.

    Mostra di più Mostra meno
    42 min
  • Redesigning the Syllabus for Deeper Learning: AI, Empathy, and Assessment
    Dec 17 2025

    Join us for an insightful conversation with Dr. Dana Riger, UNC's inaugural Faculty Fellow for Generative AI, as she guides us through the rapid paradigm shift brought on by AI in higher education. Dr. Riger shares her journey from a "fear-driven" assessment redesign, after discovering ChatGPT, to developing a nuanced, values-driven framework for integrating and avoiding AI in the classroom.

    We dive into practical strategies, like redesigning traditional research papers into creative, AI-avoidant multimedia projects, and intentionally integrating AI for skills development, such as using chatbots for practice dialogues on polarizing topics. Dr. Riger also addresses the institutional challenge of avoiding "one-size-fits-all" AI policies and underscores the importance of fostering an open dialogue. Ultimately, this episode offers a compelling vision for the future of teaching, emphasizing that the human educator's unique value lies in fostering empathy, presence, and critical dialogue, not just imparting knowledge.

    Key Discussion Points:

    • The AI Paradigm Shift: Dr. Riger's initial reaction to ChatGPT and her immediate, fear-driven assessment redesign in 2022.

    • The Nuanced Approach: Distinguishing between AI-avoidant (experiential, creative) and AI-integrated (intentional skill-building) assessments.

    • Practical Examples: How a multimedia project replaces a traditional paper, and using AI to practice difficult, emotionally laden conversations.

    • Leading with Collaboration: Why policing AI use is ineffective and the importance of respecting student autonomy and ethical objections.

    • Institutional Guidance: The missteps of mandated, uniform AI policies and the need for a thoughtful "middle ground" approach.

    • The Value of Process: Shifting assessment focus from the final product to the process of learning (drafts, revisions, process logs).

    • The Core Question: What are the unique, human-centered qualities (empathy, presence) that educators must prioritize in the age of AI?

    Mostra di più Mostra meno
    42 min
Ancora nessuna recensione