Cognitive factors of the transfer of empirical engineering knowledge: A behavioral and fNIRS study

认知 威斯康星卡片分类测试 知识转移 分类 认知心理学 认知负荷 卡片分类 计算机科学 考试(生物学) 心理学 经验证据 集合(抽象数据类型) 知识管理 睡眠剥夺对认知功能的影响 实证研究 任务(项目管理) 工程类 神经科学 神经心理学 系统工程 程序设计语言 古生物学 哲学 认识论 生物
作者
Fuhua Wang,Zuhua Jiang,Xinyu Li,Geng Li
出处
期刊:Advanced Engineering Informatics [Elsevier BV]
卷期号:47: 101207-101207 被引量:18
标识
DOI:10.1016/j.aei.2020.101207
摘要

Abstract Knowledge transfer is a progressive method to accelerate knowledge accumulation and technological innovation of enterprises. This hot research topic remains explorative on improving knowledge transfer efficiency in employees' training and engineering practice. However, due to ambiguous cognitive structure, how concepts and knowledge are stored and utilized in employees' minds during problem-solving was poorly answered. Therefore, this paper proposed a concept-sorting test, inspired by the modified Wisconsin Card-Sorting Test (M-WCST), to investigate the near/far transfer mechanism of empirical engineering knowledge (EEK) under the technological paradigm shift. Concept classification experiments were carried out for 31 participants by functional near-infrared spectroscopy (fNIRS) to explore the neuroscience basis of EEK transfer. Transfer performance and cognitive load measured in concept-sorting tests showed: (1) The cognitive level of the prior technological paradigm positively increases the transfer performance. However, it causes more perseverative errors due to set patterns of thinking. (2) The transfer distance negatively decreases the performance. Hence the display materials which are different from the prior cognitive structure are not beneficial for participants to learn. (3) The transfer distance significantly impacts the cognitive load. The activation level of brain areas becomes higher when people finish the near EEK transfer and apply it to solve new problems. As an explorative study, the evidence from fNIRS can provide insights into the theory and practice of empirical knowledge management.
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