AI in Education 2.0: The Next Step Toward Personalized Learning
AI in Education 2.0 moves beyond basic adaptivity to hyper‑personalization—combining mastery‑based pacing, multimodal tutoring, and real‑time analytics with teacher co‑pilots and strong governance—so every learner advances on a path tuned to needs, context, and goals. What’s new in 2.0 Learning analytics that act Teacher co‑pilots and workflow Equity, access, and inclusion Governance, privacy, and integrity … Read more