This presentation examines how artificial intelligence can transform remediation into a more targeted, equitable, and data-driven process. Using graduate exam results, AI tools were applied to identify learning gaps, generate individualized study plans, and monitor progress. Student outcomes improved significantly, with an average 38 percent increase overall and a 50 percent increase from baseline (pre-predictor) to the second attempt. Faculty experience greater efficiency and consistency in developing plans. Attendees will learn practical and ethical ways to integrate AI into assessment and curriculum design to strengthen student success and streamline academic support across disciplines.#artificial-intelligence #student-success #data-driven-education
