EDUC 9737 Critical Perspectives on Artificial Intelligence in Education

The purpose of this graduate-level seminar is to offer a forum for students to explore, discuss, and understand critiques related to the rise of " artificial intelligence" (AI), especially generative AI, or what Emily Bender and Alex Hanna call " synthetic text extruding machines". We will discuss critical perspectives on the sociological, educational, and research implications of AI, including the unequal distribution of the harms and benefits of AI, the overlapping ideologies of AI and the eugenics, the impact of AI on human learning and creative expression, among other topics. This course is not intended for students interested in understanding the technical/computational aspects of AI, or for students interested in learning practical strategies for implementing AI in their work. Instead, it is an introduction to the social and political contexts in which AI is developed, marketed, used, and resisted, especially in K12 and higher educaiton.

Course overview

Department
Teacher Education and Curriculum and Instruction
School
Lynch
Credits
3
Level
Graduate
Offered
Every Fall, Every Spring, Every Summer

Course evaluations

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

Course rating
4.59 / 5 · Excellent
29 responses
Instructor rating
4.76 / 5 · Excellent
29 responses
Terms evaluated
5
Most recent: Fall 2025

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Fall 2025Faythe Beauchemin4.24.24.34.34.54.34.54.34–6 hrs/week6 of 7
Fall 2025Kristen Bottema-Beutel4.55.05.05.04.54.04.53.5—2 of 2
Fall 2024Faythe Beauchemin4.84.94.84.94.85.05.04.94–6 hrs/week8 of 15
Fall 2023Kristen Bottema-Beutel4.74.94.95.04.64.94.94.97–9 hrs/week7 of 8
Summer 2022Jon Wargo4.85.05.05.05.04.85.04.87–9 hrs/week5 of 8
Fall 2021Patrick Mcquillan4.05.04.0—4.04.05.05.04–6 hrs/week1 of 5

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
    Summer 2026 · Kristen Bottema-Beutel · TuTh 10:00AM-01:00PM · Offered