Transfer: Applying Knowledge in Unfamiliar Situations
Transfer is more than remembering what we learned. It is the ability to recognize when knowledge applies, adapt it to unfamiliar situations, and explain why it matters. In an AI-rich world, students must learn not simply to receive applications from AI, but to evaluate and make those connections themselves.
Sensemaking: More Than Finding Answers
AI can make information easier to find, but access is not the same as understanding. In an AI-rich world, students need to do more than receive answers—they need to connect ideas, recognize context, identify what matters, and build meaning. Sensemaking is the work that turns information into understanding.
The Real Role of Faculty in an AI World
Artificial intelligence is changing many aspects of higher education, but perhaps the most important change is forcing us to reconsider the role of faculty. When information, explanations, and answers are available instantly, the value of education shifts from delivering content to developing judgment. In an AI world, faculty are not simply providers of knowledge, they are designers of learning experiences that help students think critically, reflect on their decisions, and develop the metacognitive skills needed to navigate an increasingly complex world.