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 podcastAI adoption in schools across the United StatesThe growing backlash against EdTech and screen timeWhy educational technology and passive screen use are not the same thingAI literacy, digital citizenship, and critical thinkingHow schools can begin using AI in low-friction, practical waysThe importance of teacher confidence and professional learningBias, reliability, and data privacy in generative AINotebookLM, Gemini Gems, and practical classroom applicationsSupporting students to remain active thinkers in an AI-mediated worldVermont’s AI Symposium and student-led innovation projectsWhy schools must start talking openly with students about AIThe 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.
Bias and reliability in AI systemsData privacy considerationsThe importance of critical thinkingThe need for verification and human judgementThe guests share low-friction ways educators can begin engaging with AI safely and meaningfully, including:
AI-supported lesson reflectionBias checkingNotebookLM workflowsProductivity and efficiency toolsAI-supported professional learning