TeachUp: Facilitating Early-Stage Teachers to Learn Instructional Strategies from Classroom Videos with Reflective Support

2026-08-09

AI Summary

This study addresses the challenge novice teachers face in effectively identifying and transferring implicit instructional strategies from classroom videos, compounded by a lack of real-time reflective support. To bridge this gap, the authors propose TeachUp—an interactive learning system powered by large language models (LLMs)—which, for the first time, automatically detects pedagogical strategies in teaching videos and dynamically generates reflective questions and personalized practice prompts during video viewing. Integrating an LLM-driven instructional strategy detection pipeline with thoughtful human–computer interaction design, TeachUp significantly enhances the interactivity and efficacy of video-based professional learning. User studies demonstrate that novice teachers using TeachUp exhibit higher engagement and apply instructional strategies more effectively in novel teaching tasks compared to those using traditional approaches.

Abstract

Recorded videos of offline open classes provide good examples for early-stage teachers to learn instructional strategies, e.g., how to organize cooperative learning. However, learning by watching these videos is challenging, as these strategies are implicitly performed, and it lacks in-situ reflective support. In this paper, via a formative study (N=9), we design TeachUp to support the learning of instructional strategies from classroom teaching videos. TeachUp adopts an LLM-powered pipeline to detect nine instructional strategies in videos (precision = 63.4%), provides reflective questions and hints while watching, and generates customized practices with reflective feedback. A within-subjects study (N=16) shows that compared to a traditional video-playing and self-practicing baseline, early-stage teachers with TeachUp are more engaged in learning and perform better in applying learned strategies to new tasks. Interviews with four in-service teachers further generalize our findings and TeachUp's use cases. We discuss practical implications for fostering video-based learning of instructional strategies.

Problem

• instructional strategies
• classroom videos
• early-stage teachers
• reflective support
• video-based learning

Innovation

• instructional strategies
• classroom video analysis
• LLM-powered pipeline
• reflective support
• teacher professional development