In the grand theater of education, we are frequently and justly reminded of the virtue of differentiated instruction. No two students, we say, are alike — and so our pedagogy must flex and respond with sensitivity to varied learning styles, backgrounds, and capacities. Yet, in our near-exclusive emphasis on instructional differentiation, we have neglected its quiet, necessary twin: AI differentiated assessment.
