This master's-level course is designed to examine the ways in which artificial intelligence (AI) is transforming the field of education from an implementation perspective. Rapid evolution in the AI technology ecosystem has education stakeholders — including policy makers, educational researchers, school administration, teachers, parents/guardians, and students — revisioning the classroom experience. It is crucial to understand the possibilities and implications of AI tech on teaching and learning, where social interaction appears to be at the core of the discussion.
The course will explore the current state of AI in education and examine how we apply these technologies. The possibilities and challenges on social interaction in the classroom are explored by understanding the potential of AI when driven by the teachers' and learners' abilities to prompt constructive discourse. This course places an emphasis on knowledge mobilization and collaboration by allowing students to explore AI technologies while critically examining issues including pedagogy, curriculum development, assessment, and personalized learning.
Overall, this course will provide students with an opportunity to explore the knowledge and skills needed to navigate the rapidly evolving AI in education landscape to leverage the technologies' potential for the benefit of stimulating social interaction and constructive discourse between students and teachers.
This course is offered asynchronously but includes 6 synchronous meeting times for students to regularly meet with the instructor for topical discussions about current state of AI technologies in education.