AI as a Teaching Partner: Early Lessons from Classroom Codesign with Secondary Teachers

2025-12-12

AI Summary

This study addresses the challenge of integrating generative AI into secondary classrooms without undermining teacher authority, positioning AI as a “pedagogical collaborator” rather than a replacement. Method: Over seven weeks, 21 in-service teachers co-designed and implemented AI-enhanced instruction—incorporating AI teaching assistants, intelligent automated assessment, AI-powered tutoring, and student growth analytics—within authentic classroom settings. A mixed-methods approach was employed, including surveys, reflective journals, interviews, design workshops, and educational data log analysis. Contribution/Results: Findings demonstrate significant improvements in feedback timeliness, inquiry-based learning support, and instructional scalability. The study introduces the “teacher-driven AI design framework,” which foregrounds teacher agency and pedagogical mediation in AI integration. Validated across iterative implementations with over 600 students in Grades 6–12, this framework provides a replicable methodology and practical pathway for leveraging generative AI to strengthen, rather than supplant, teacher-centered pedagogy.

Technology Category

• Humans and AI: Game Design — Procedural Content Generation & Storytelling
• Intelligent Robots: Embodied AI
• Natural Language Processing: Generation

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs
• Search and Retrieval-Augmented AI: Agentic search

Abstract

This report presents a comprehensive account of the Colleague AI Classroom pilot, a collaborative design (co-design) study that brought generative AI technology directly into real classrooms. In this study, AI functioned as a third agent, an active participant that mediated feedback, supported inquiry, and extended teachers' instructional reach while preserving human judgment and teacher authority. Over seven weeks in spring 2025, 21 in-service teachers from four Washington State public school districts and one independent school integrated four AI-powered features of the Colleague AI Classroom into their instruction: Teaching Aide, Assessment and AI Grading, AI Tutor, and Student Growth Insights. More than 600 students in grades 6-12 used the platform in class at the direction of their teachers, who designed and facilitated the AI activities. During the Classroom pilot, teachers were co-design partners: they planned activities, implemented them with students, and provided weekly reflections on AI's role in classroom settings. The teachers' feedback guided iterative improvements for Colleague AI. The research team captured rich data through surveys, planning and reflection forms, group meetings, one-on-one interviews, and platform usage logs to understand where AI adds instructional value and where it requires refinement.

Problem

• Integrating generative AI as a teaching partner in real classrooms
• Evaluating AI's role in feedback, inquiry, and instructional support
• Co-designing AI tools with teachers to enhance educational practices

Innovation

• AI as third agent mediating feedback and inquiry
• Co-design with teachers for iterative platform improvements
• Four AI features integrated into classroom instruction