EDUC 617: Promise, Pitfalls, and Practice of AI in Education
Important: For the most up-to-date information, refer to the official George Mason Course Catalog
General Information
Credits: 3
Description:
Explores the evolving AI landscape and its impact on PK-12 education. Investigates critical ethical considerations, data privacy, and the impact on educational equity. Examines real-world school adoptions to identify practical strategies for innovation. Empowers educators to integrate emerging technologies responsibly, ensuring effective and equitable learning environments for all students. Offered by School of Education. May not be repeated for credit.
Registration Restrictions:
Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus, Non-Degree or Senior Plus.
Students in a Non-Degree Undergraduate degree may not enroll.
Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
This course is graded on the Graduate Regular scale.