The CanadianED Leadership Show
Dean interviews Kate Arthur about what it means for a skill to become a “literacy” and why AI literacy must build on foundational reading, writing, and numeracy alongside access to networks, tools, and skills. Arthur shares her nontraditional education path, 25 years at the intersection of tech, communications, and education, and how classroom moments like students using Siri pushed her to connect literacy with AI’s growing presence. They discuss integrating AI learning across subjects rather than isolating it, the risk of focusing on tools over outcomes like critical thinking, and concerns about widening divides when basic literacy gaps persist. Arthur describes a shift from an attention economy to an attachment economy in generative AI, the ethics of human–machine relationships, and the need to democratize AI knowledge currently concentrated among a few leaders. She also recounts lobbying that secured $6M for youth skills education and emphasizes community-driven change. 00:00 What Makes Literacy 01:06 Meet Kate Arthur 03:06 Kate’s Education Journey 04:57 Stumbling Into AI 07:09 Defining AI Literacy 11:17 Frameworks And Gaps 14:35 Teaching Across Subjects 16:52 Tools Versus Skills 19:17 Best Case AI Future 22:25 Screens Bans And Balance 26:37 From Attention To Attachment 30:33 AI Relationship Guilt 31:39 Depth Versus Shallow 33:11 Humans Versus Chatbots 38:50 Innovation At Risk 40:41 Proudest Career Moments 42:00 Lobbying For Education 45:35 How Lobbying Works 48:45 Leadership And Mentors 54:37 Montreal Hidden Gem
127 episodios
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