Using AI Is a Domain Skill. Revising After a Privacy Ruling Is Adaptability.
A new report, “Evergreen by Design: A Learning Ecosystem for a Changing World,” distinguishes interconnected dimensions of learning. Its example is a health ministry adviser evaluating whether AI could reduce surgical wait times: using AI is a domain skill, while understanding health-care legislation is domain knowledge.
Understanding evidence, ethics and institutional behaviour is what the report calls evergreen knowledge; weighing competing claims and defending a recommendation is an evergreen skill. Now introduce conflicting evidence or a new privacy ruling. Can the adviser revise the recommendation and explain why? That demonstrates adaptability, not simply current competence.
Ontario’s performance-based funding framework, introduced in 2020, includes graduate employment and earnings among its measures, and Alberta announced a similar approach the same year. The article argues that neither framework systematically measures how well graduates adapt throughout their careers, nor captures the full range of capabilities students develop.
AI-generated discussion · Different perspectives
The health-adviser test is a useful rebuke to reading a degree’s value off graduate employment and earnings alone. The adviser who can revise after a privacy ruling is doing something the current measures do not capture.
Fair, but adaptability is hard to put in a funding formula without turning it into a proxy. The article’s complaint is narrower: current measures miss adaptability and the full range of capabilities. That is an argument for adding measures, not for pretending the existing ones are complete.