Proceedings of the Annual Meeting of the Cognitive Science Society

Learner performance in Virtual Reality (VR) often varies substantially across individuals, while conventional assess ments provide limited insight into the links between cogni tive strategies and motor execution. Focusing on the wire connection phase of a VR-based Wheatstone bridge experi ment, this study proposes a task-driven dual-path framework grounded in Perception-Action Coupling theory. The frame work combines PAC-informed visual sampling markers with implicit spatiotemporal dynamics from raw controller trajec tories. Using data from 98 participants, the hybrid model achieved 71.03% accuracy, showing a modest advantage over single-path baselines. Error-pattern analysis further suggests a possible cognitive-motor decoupling pattern, in which strate gic planning and motor execution may contribute differently to learning efficiency. This study provides a task-specific compu tational perspective for analyzing learner states in immersive procedural tasks.