EDU-639: Designing Ai-Driven Learning: Collaboration, Personalization, and Data-Informed Pedagogies

Participants will explore AI-powered tools for personalized learning, adaptive assessments, and differented instruction, emphasizing their practical application in real-world classrooms. They will also examine the role of educators as partners with AI, balancing human expertise with machine intelligence to foster student growth. The course includes hands-on practice with data analytics tools to identify learning gaps, predict outcomes, and make informed decisions to support diverse learners effectively. Special attention will be given to ethical and inclusive considerations, ensuring AI is used responsibly to promote equity, accessibility, and student success. By the end of the course, participants will have developed actionable strategies and AI-enhanced learning designs that emplower learners and position educators as leaders in a data-driven educational landscape. Prerequisite: EDU-608. [ 3 credits ]