Abstract
This article examines how educators can use generative artificial intelligence (AI) in math courses for preservice elementary teachers. We provide strategies for AI integration in three areas: syllabus policy statements, planning support, and classroom activities. These strategies consider teaching innovation, practicality, and ethics.We propose four activities for AI-curious educators: drafting AI-focused syllabus policies, generating example data for statistics and data science lessons, summarizing PSTs discussions using ChatGPT, and inviting PSTs to engage in teacher-student conversations about challenging and conceptually dense mathematical concepts. We discuss testing limitations, including the ability to explain mathematical ideas conceptually, the limited use of visual outputs in text-based tools, and ethical considerations of using AI.
Keywords
artificial intelligence, elementary mathematics teacher preparation, AI literacy, preservice teachers, mathematics teacher educators
How to Cite
Druken, B. K. & McPheron, J. J., (2026) “Practical Applications of AI in Teaching Mathematics for Elementary Teachers”, Ohio Journal of School Mathematics 102(1): 1, 1-14. doi: https://doi.org/10.18061/ojsm.6649
