Tag: ai-literacy

Most universities approach faculty AI training backward - loading technical skills before building confidence. The 80% who feel lost need support systems, not more features. Faculty resistance is rational caution, not obstinacy. Building confidence through peer support and specific use cases works better than comprehensive training programs.

AI literacy is judgment, not knowledge. Here are the 10 essential concepts that enable good AI decisions in business contexts.

Most universities train students first, then watch everything stall. Start with administrative staff who run the infrastructure, move to faculty with practical support, then scale to students. This sequence makes campus-wide AI literacy actually possible instead of just another abandoned initiative.