This course prepares educators and leaders to navigate complex ethical, equity, and policy challenges posed by AI in education. Participants will explore algorithmic bias, accessibility for diverse learners, data privacy, and security. Through research-driven inquiry and collaborative projects, learners will critically evaluate AI's impact on education, using A1-powered analytics and qualitative research methodologies. Participants will examine policy development processes, funding considerations, and advocacy techniques to champion ethical and equitable AI use in learning institutions. By the end of the course, students will conduct an AI-related research study and develop a policy proposal for AI integration in education. Prerequisite: EDU-608. [ 3 credits ]
EDU-640: -Ethical Leadership, Research, and Policy in AI-Driven Education
Department
Academic Level
Graduate
Instructional Method
Lecture 100% Online