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Educational researchers have used multimodal data to study teachers’ instructional practices. Yet these technologies have not been handed over to teachers for their own self-reflection. This study developed and evaluated methodologies supporting teachers in using multimodal data—specifically eye-tracking-overlaid multiple-point-of-view videos—to deepen understanding of learning and teaching. Five pre-service mathematics teachers (PSMT) participated. They collaboratively constructed a body-scale polyhedron while wearing eye-trackers, then analyzed recordings of their activity. Drawing on Goodwin’s Co-Operative Action theory, researchers micro-analyzed their behaviors. It was found that the technology enabled PSMTs to highlight, code, and elaborate nuanced perceptual and social behaviors, leading to pedagogical insights. Supplementing video-based reflection with gaze data enriched PSMTs’ microgenetic analysis of collaborative multimodal learning and informed prospective professional practice.