Making Sense of Artificial Intelligence in Education

AI Bytes is a series of eleven bulletins specifically designed to provide valuable insights and resources for educators in adult education, with an emphasis on Get SET (Skills, Education and Training) programs.

Large language models, tokenization and temperature, AI hallucinations and bias, AI’s limits as a learning and writing substitute, verification practices, responsible tool choice, and intentional AI workflows.
Everyday IoT and connected workplaces, the environmental cost of AI prompts and infrastructure, AI’s trade-offs in environmental impact, and the limits of AI captions/translations for accessibility, accuracy, and inclusion.
Invisible AI and automation bias, building verification and critical-thinking habits, rethinking teaching and assessment with AI, and educator-ready resources/tools (updates, guides, calculators).
The new landscape of search, what happens when AI doesn’t know, rethinking assessment in the age of AI, and transitioning from theory to practice: mastering AI literacy.
Bridging the digital divide, distinguishing AI from automation, building and managing AI agents, protecting learner privacy, hands-on Get SET prototypes, preparing for an AI-collaborative future, and practical AI Bytes tools.

Podcasts

Building Journeyperson Skills in the AI Era

AI Bytes. Episode 1

AI has already made its way into the trades. An apprentice checking a curb-line calculation, someone prepping for their Red Seal exam with a chatbot quizzing them after class, a newcomer using AI to translate a safety manual into their first language.

The question isn’t really whether AI belongs on the job site anymore. It’s already there. The real question is: who’s making sure it’s right?

In this episode, co-hosts Jeremy Marks and Carolina Cohoon sit down with Corey Chambers of LiUNA Local 1059 in London, Ontario, to talk about what AI actually looks like inside a trades training centre. Corey shares what happens when AI gets something confidently wrong, how apprentices are learning to verify instead of just trust, and why the instructors there see this less as a threat to the trade and more as one more tool worth teaching people to use well.

  • How apprentices are using AI for exam prep, calculations, and translation
  • What happens when an AI-generated answer is wrong, and who catches it
  • Why “verify with a subject-matter expert” might be the single most important AI skill in the trades

 

Grab your coffee and join us!

Webinars