Beyond The Algorithm - The Podcast

The Future of EdTech: AI, Innovation and Literacy with ExplAinED

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The Future of EdTech: AI, Innovation and Literacy

Guests: Shaun Langevin, Renee Langevin & Michael Berry (Hosts of the ExplAInED Podcast)

In this episode of Beyond the Algorithm, Dawn Taylor is joined by the hosts of the Explained podcast: Shaun Langevin, Renee Langevin, and Michael Berry. Together, they explore the evolving relationship between AI, EdTech, digital literacy, curriculum design, and the future of learning.

The conversation dives into the realities schools are facing as AI rapidly reshapes teaching and learning. From concerns about screen time and AI literacy to the importance of bias, reliability, and responsible implementation, this episode offers a thoughtful and honest discussion about what educators need to understand now.

The team also shares insights into:

  • The origins of the Explained podcast
  • AI adoption in schools across the United States
  • The growing backlash against EdTech and screen time
  • Why educational technology and passive screen use are not the same thing
  • AI literacy, digital citizenship, and critical thinking
  • How schools can begin using AI in low-friction, practical ways
  • The importance of teacher confidence and professional learning
  • Bias, reliability, and data privacy in generative AI
  • NotebookLM, Gemini Gems, and practical classroom applications
  • Supporting students to remain active thinkers in an AI-mediated world
  • Vermont’s AI Symposium and student-led innovation projects
  • Why schools must start talking openly with students about AI

    • Key Discussion Themes

    EdTech vs Screen Time

    The group discusses growing concerns in parts of the United States around educational technology and increasing attempts to limit student screen time. The conversation highlights the danger of conflating passive screen consumption with purposeful educational technology use.

    AI Literacy and Curriculum

    The discussion explores the challenge schools face in developing meaningful AI literacy approaches while educators themselves are still learning alongside students.

    Responsible AI Use

    The episode examines:

    • Bias and reliability in AI systems
    • Data privacy considerations
    • The importance of critical thinking
    • The need for verification and human judgement

      • Practical AI Integration

      The guests share low-friction ways educators can begin engaging with AI safely and meaningfully, including:

      • AI-supported lesson reflection
      • Bias checking
      • NotebookLM workflows
      • Productivity and efficiency tools
      • AI-supported professional learning
        • ...more
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        Beyond The Algorithm - The PodcastBy beyondthealgorithmpodcast