ELHE 7555 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
Level
Graduate
Offered
Annually

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.06 / 5 · Very Good
16 responses
Instructor rating
4.56 / 5 · Excellent
16 responses
Terms evaluated
2
Most recent: Fall 2024

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryResponses
Fall 2024Michael James5.05.04.65.05.05.05.05.05 of 9
Fall 2023Laura Deveau————————11 of 15

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Sections

  • Section 01
    Spring 2027 · Stella Flores Krystinik · Gasson Hall 201 M 04:30PM-06:50PM · Offered