Trends in AI Curriculum Materials: Insights from Data Mining a Teacher Marketplace

First author · EdArXiv preprint (2025). A mixed-methods study of AI curriculum materials and patterns of adoption in a teacher marketplace.
Preprint
AI Curriculum
Educational Data Mining
Authors

Wei Wang

J. M. Rosenberg

M. J. Koehler

Preprint year

2025

First-author preprint · EdArXiv · 2025

This work is available as a preprint; it is not listed here as an accepted journal article.

Overview

The study examines AI curriculum materials on Teachers Pay Teachers using an explanatory sequential mixed-methods design. It combines a description of available resources with regression and qualitative analysis to investigate patterns associated with their popularity. The work connects educational data mining with questions about how teachers access and adopt AI teaching materials.

Read the EdArXiv preprint →

Citation

Wang, W., Rosenberg, J. M., & Koehler, M. J. (2025). Trends in AI curriculum materials: Insights from data mining a teacher marketplace. EdArXiv. https://doi.org/10.35542/osf.io/6b7n9_v1