Show Notes
In this episode, we discuss why AI tools like ChatGPT and Copilot can sound convincing even when they’re wrong, and what that means for us as enablers of change. See all the details and contribute to the discussion over at our blog (https://www.enablersofchange.com.au/blog/).
More from Enablers of Change
Explore how Adoption Readiness Levels help us identify barriers beyond technology and strengthen the conditions for successful adoption in agriculture. See all the details and contribute to the discussion over at our blog (https://www.enablersofchange.com.au/blog/).
Avoid random acts of extension by starting with the outcome, then matching methods to participants’ needs, context and adoption journey. See all the details and contribute to the discussion over at our blog (https://www.enablersofchange.com.au/blog/).
Learn seven practical principles for designing agricultural R&D for adoption and impact, based on lessons from the Research for Impact project. See all the details and contribute to the discussion over at our blog (https://www.enablersofchange.com.au/blog/).
Workshops can feel engaging but lead to little change. Use COM-B and the 40:20:40 rule to design events that support real action afterwards. See all the details and contribute to the discussion over at our blog (https://www.enablersofchange.com.au/blog/).
Discover the AGES model: Attention, Generation, Emotion and Spacing, and how it can help extension practitioners design learning that sticks. See all the details and contribute to the discussion over at our blog (https://www.enablersofchange.com.au/blog/).