摘要
知识空间理论(KST)为构建知识评价体系提供了有效的途径。形式概念分析(FCA)是知识发现的有力工具。知识空间理论与形式概念分析间存在密不可分的联系。知识空间理论被运用于评估学习者的知识和指导未来的学习。目前,如何构建准确的知识结构是知识空间理论的重点研究问题。基于技能与问题间的关系,对知识空间理论与形式概念分析间的联系进行研究。首先,提出技能背景的概念,建立技能映射与技能背景间一一对应的关系,得到技能映射与技能背景互相转换的方法。其次,基于技能背景,讨论知识结构的构建问题,得到由技能背景的概念格来构建知识结构的方法。随后,基于技能背景,介绍寻找知识基的方法和保持知识基不变的技能约简方法,以及通过知识基构建技能背景的方法。最后,在已知学习者知识状态的情形下,通过判断学习者对技能的掌握情况来对其进行技能评估,并通过选择学习能够促使知识状态发生改变的技能来讨论学习路径选择等问题。
Knowledge space theory(KST)provides an effective way to construct knowledge evaluation system.Formal concept analysis(FCA)is a powerful tool for knowledge discovery.The knowledge space theory is closely related to the formal concept analysis.Knowledge space theory is applied to assessing learners’knowledge and guiding future learning.At present,how to construct accurate knowledge structure is the key research problem of knowledge space theory.Based on the relationship between skills and items,this paper studies the relationship between knowledge space theory and formal concept analysis.Firstly,the concept of skill context is proposed,the one-to-one correspondence relationship between skill map and skill context is established,and the method of mutual conversion between skill map and skill context is obtained.Secondly,based on the skill context,the problem of knowledge structure construction is discussed,and the method of knowledge structure construction based on the concept lattice of skill context is obtained.Then,based on the skill context,the method of finding the knowledge base,the skill reduction method of keeping the knowledge base unchanged,and the method of building the skill context through the knowledge base are introduced.Finally,in the case of known knowledge state of learners,skills are assessed by judging the skills that learners must master,and learning path selection is discussed by selecting skills that can promote the change of knowledge state.
作者
周银凤
李进金
ZHOU Yinfeng;LI Jinjin(School of Mathematics and Statistics,Minnan Normal University,Zhangzhou,Fujian 363000,China)
出处
《计算机科学与探索》
CSCD
北大核心
2022年第3期692-702,共11页
Journal of Frontiers of Computer Science and Technology
基金
国家自然科学基金(11871259,11701258,61379021)。
