Enhancing K-12 Mathematics Instruction Through Human-AI Collaboration: A Comprehensive Study on Curriculum and AI Utilization

• In Event: Exploring Synergies: Teacher-AI Collaboration in K-12 STEM

Abstract

This study examines the impact of AI tools on K-12 math lesson plan quality, addressing teachers’ instructional challenges. Using mixed methods, including descriptive analysis, topic modeling, and interviews, we identified high-quality lesson plan features and explored how teachers use AI to refine content. Findings show teachers generally emphasize student collaboration, inclusivity, and formative assessments, with varying focuses across educational levels. Additionally, AI significantly aids in improving cognitive engagement, promoting inclusivity, and streamlining lesson preparation. While teachers grow with AI, gaps in teacher awareness of AI capabilities persist. Therefore, enhancing AI tools with domain-specific knowledge and increasing teacher professional development for educational technology integration can lead to both more effective AI tool development and more inclusive and engaging math education.

Authors

• Alex Liu, University of Washington

• Min Sun, University of Washington

• Shawon Sarkar, University of Washington

• Lorraine Marie Males, University of Nebraska - Lincoln

• Zewei Tian, University of Washington