Cognitive Behavior Sequence Dataset for Mortise-Tenon Learning Based on SMI

This dataset provides a comprehensive record of the micro-cognitive behavior sequences exhibited by 57 learners across three groups: flat images, 3D animations, and blended teaching, as they engage in a task involving the drawing of mortise and tenon structures. The data annotates behavior categories—regular drawing, focus shifts, and insight points—at each time point with second-level precision and offers specific event descriptions focused on connection points and shape depiction. Its core value lies in the segmentation model framework of insights, which transforms implicit cognitive breakthroughs (SMI) into observable and analyzable explicit behavior sequences. This transformation clearly illustrates how different teaching methods affect learners' efficiency in constructing spatial representations, the flexibility of cognitive strategies, and the pathways to achieving deep understanding, thereby providing detailed process evidence for research on teaching mechanisms.