AI has the potential to remake our class-based teaching and learning paradigm. It has always struck me as ill-conceived that we teach 20 or 30 students at a time. I understand the economy of doing so, but not the pedagogical sense. An AI-powered adaptive model of teaching includes frequent probing assessments throughout the learning term, analyzed by AI to determine the depth and breadth of knowledge of the learner in the topical area and adapt the syllabus to achieve mastery of the outcomes at the end of the term. Gaps in learning can be identified in these assessments, and adjustments can be built into the flexible, personalized syllabus for the student. There are a whole host of ways in which AI can improve learning outcomes, lessen the workload on faculty and staff, and ensure that our learners are getting the best, most relevant education possible.
