CAJ | 학술논문

针对自主学习能力的影响因素多和考评数据量大等问题，论文基于权重策略和最大隶属原则进行了自主学习能力的自评模型研究和系统设计。首先，考虑到自主学习能力的“优、中、差”评价结果是模糊概念，建立了三种标准模式的隶属函数；其次，通过分析影响自主学习能力的主因素和子因素，构建了评价自主学习能力的指标体系；最后，借助权重策略和最大隶属原则建立了自评模型并根据自主学习能力的评价要求和功能需求对自评系统进行了设计。实验表明，自主学习能力评价系统需要专家干预较少，能根据测评对象的指标输入快速准确地给出评价结果。
침대자주학습능력적영향인소다화고평수거량대등문제，논문기우권중책략화최대대속원칙진행료자주학습능력적자평모형연구화계통설계。수선，고필도자주학습능력적“우、중、차”평개결과시모호개념，건립료삼충표준모식적대속함수；기차，통과분석영향자주학습능력적주인소화자인소，구건료평개자주학습능력적지표체계；최후，차조권중책략화최대대속원칙건립료자평모형병근거자주학습능력적평개요구화공능수구대자평계통진행료설계。실험표명，자주학습능력평개계통수요전가간예교소，능근거측평대상적지표수입쾌속준학지급출평개결과。
Aiming at the problems such as too many influence factors and evaluation data in autonomous learning abili-ty ,self-evaluation model is researched and self-evaluation system is designed based on weight strategy and maximum subordi-nation principle .Firstly ,considering that excellent ,medium and poor are fuzzy concepts ,the membership functions of these three standard modes are defined .Secondly ,by analyzing main factors and sub factors ,an indictor system is built for autono-mous learning evaluation .Finally ,an autonomous learning ability self-evaluation model and a system are given .Experiment show that ,this system need not too much experts' intervention ,moreover ,it can rapidly and accurately present autonomous learning ability evaluation results according to the self-evaluation indictor information .