A recent preprint titled Pedagogical Biases in AI-Powered Educational Tools: The Case of Lesson Plan Generators critically examines how AI-driven platforms like MagicSchool, SchoolAI, and GPT-4 generate lesson plans that often reinforce outdated, teacher-centered pedagogies. Analyzing 90 AI-generated lesson plans, the study found a consistent pattern: these tools tend to produce structured, predictable lessons that prioritize control and efficiency over student agency and dialogue.
For instance, MagicSchool frequently suggests quiet, individual work; GPT-4 emphasizes procedural activities; and SchoolAI initiates discussions but quickly reverts to rigid instruction. This approach sidelines student autonomy, reducing opportunities for meaningful engagement and critical thinking.
However, the researchers demonstrated that with intentional prompt engineering, AI tools can generate more student-centered lesson plans that encourage collaboration, reflection, and self-assessment. This finding underscores the importance of involving educators in the development and implementation of AI in education to ensure these tools enhance, rather than hinder, pedagogical practices.
As AI continues to permeate educational settings, it’s crucial to critically assess and guide its integration to support diverse and dynamic learning environments.