Beth M. Schwartz and Christopher Hakala argue that decades of learning science can guide decisions about generative AI use, even though AI-specific research remains limited. They propose asking whether a given AI use strengthens the thinking that learning requires or replaces it. They recommend that faculty start from learning goals and check that students can demonstrate learning independently, and they call for smaller, iterative studies of specific AI uses.
