ELHE7555

Special Topics in Higher Education: AI in Social and Education Policy

This course that prepares students to use generative AI for rigorous, ethical, and impactful research. Students learn to integrate AI into key tasks, including literature mapping, data analysis, and policy dissemination, while evaluating its limitations and risks. Through hands-on labs and real-world applications, students design AI-supported workflows for their own projects. Emphasizing responsible use, transparency, and verification, the course positions students at the forefront of a rapidly evolving research landscape. As part of the emerging Education and Social Policy initiative, the course will impart skills highly valued across academia, policy, and industry.

Course overview

Department
Educational Leadership and Higher Education
School
Lynch
Credits
3

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.06 / 5

Based on 16 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-07-23. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Sections

  • Section 01
    Fall 2026 · Stella Flores Krystinik · Campion Hall 200 M 04:30PM-06:50PM · Offered