Automated discovery of symbolic laws governing skill acquisition from naturally occurring data

arXiv:2404.05689v1 Announce Type: new
Abstract: Skill acquisition is a key area of research in cognitive psychology as it encompasses multiple psychological processes. The laws discovered under experimental paradigms are controversial and lack generalizability. This paper aims to unearth the laws of skill learning from large-scale training log data. A two-stage algorithm was developed to tackle the issues of unobservable cognitive states and algorithmic explosion in searching. Initially a deep learning model is employed to determine the learner's cognitive state and …

abstract acquisition arxiv automated cognitive cs.ai cs.lg data discovery experimental key laws log data multiple paper processes psychology research scale training type