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

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Sannyuya Liu;Qing Li;Xiaoxuan Shen;Jianwen Sun;Zongkai Yang

通讯作者：

Xiaoxuan Shen<&wdkj&>Jianwen Sun<&wdkj&>Zongkai Yang

作者机构：

National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China

Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China

National Engineering Research Center for E-learning, Central China Normal University, Wuhan, China

[Sannyuya Liu; Zongkai Yang] National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China<&wdkj&>Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China<&wdkj&>National Engineering Research Center for E-learning, Central China Normal University, Wuhan, China

[Qing Li; Xiaoxuan Shen; Jianwen Sun] National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China<&wdkj&>Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China

通讯机构：

[Xiaoxuan Shen; Jianwen Sun; Zongkai Yang] N

National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China<&wdkj&>Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China<&wdkj&>National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, China<&wdkj&>Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China<&wdkj&>National Engineering Research Center for E-learning, Central China Normal University, Wuhan, China

语种：

英文

期刊：

Nature Computational Science

ISSN：

2662-8457

年：

2024

卷：

期：

页码：

334-345

DOI：

10.1038/s43588-024-00629-0

机构署名：

本校为第一且通讯机构

院系归属：

国家数字化学习工程技术研究中心

摘要：

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 an algorithmic explosion in searching. A deep learning model is initially employed to determine the learner’s cognitive state and assess the feature im...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

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

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问