Productive Human-AI Collaboration
Productive human-AI collaboration is not measured by how much work AI completes. It depends on whether the student remains responsible for setting the direction, evaluating possibilities, and making consequential decisions. When AI expands thinking without replacing judgment, students can leave the interaction with more than a finished product—they can become more capable learners.
Knowing When to Trust AI
Students should neither trust AI automatically nor reject it entirely. They need calibrated trust—the ability to weigh an AI response against evidence, their own knowledge, the risks involved, and the consequences of being wrong.