Ep. 296 | The Hidden Problem With AI In Education W/ Ken Shelton

In this episode of EdTech Bites Podcast, host Gabriel Carrillo sits down with educator and consultant Ken Shelton to unpack the growing confusion around AI literacy in education. Shelton challenges the superficial use of terms like 'AI literacy' and 'rigor,' arguing that without clear definitions and contextual understanding, such language becomes meaningless. He redefines AI literacy as a combination of acumen (understanding how different AI systems work), fluency (confidence and competence in using them), and awareness of bias (recognizing that AI reflects human-made data and design). Shelton emphasizes that effective AI use requires intentional prompting, role-layering, and a deep understanding of how different models like ChatGPT, Claude, and Gemini function uniquely. He also critiques the rush to adopt new EdTech tools without proper vetting, highlighting widespread redundancy in school districts—such as one with over 500 platforms—due to uncoordinated purchases driven by conferences and vendor outreach. Shelton advocates for a strategic, goal-aligned approach to technology adoption, rooted in district-wide strategic plans and supported by both top-down policy and bottom-up professional development. The conversation concludes with practical advice for new administrators: slow down, audit existing tools, prioritize alignment with instructional goals, and avoid the 'bandwagon effect.' Shelton’s insights underscore that true digital and AI literacy isn't about tools, but about thoughtful, intentional, and human-centered decision-making in education.