AI engines ingest learner telemetry—engagement heatmaps, error patterns, pacing variances—and instantaneously fine-tune lesson difficulty, modality, even tone of voice. This closed feedback loop scales elegantly across thousands of students, transforming differentiation from a labour-intensive ideal into a default instructional setting.