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基于知识结构的自适应测试模型及其应用

Adaptive Testing Model and Application Based on Knowledge Structure
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摘要 传统的学习评估仅能得出分数或排名,不能对学习者的知识结构和认知缺陷进行诊断.而基于知识空间理论的个性化诊断,可获得学习者的知识结构和能力水平,并反馈缺失的知识点,有利于实现个性化学习.以知识空间理论为基础,提出了一种基于知识结构的自适应测试模型.依据该模型,以“数据库原理与应用”内容为例,编写了自适应测试程序,并用程序模拟实现了受测者对这部分内容的个性化诊断和对受测者能力水平的快速测试,验证了该模型的有效性. At present,the traditional learning assessment can only obtain scores or rankings,but can not diagnose the knowledge structure and cognitive defects of learners.Personalized diagnosis based on knowledge space theory can obtain the knowledge structure and ability level of learners,and feedback on the missing knowledge points,which is conducive to the realization of personalized learning.Based on the knowledge space theory,this paper proposes an adaptive testing model based on knowledge structure.According to the model,taking the content of“Database Principle and Application”as an example,an adaptive test program is written,and the program is used to simulate and realize the individual diagnosis of the content of the test,and realize the rapid test of the ability level of the test,which verifies the validity of the model.To provide reference for learning evaluation of related content.
作者 郑琼 许晴媛 ZHENG Qiong;XU Qin-yuan(School of Education and Psychology,Zhangzhou 363000,Fujian,China;School of Computer Science,Minnan Normal University,Zhangzhou 363000,Fujian,China)
出处 《喀什大学学报》 2023年第6期76-83,共8页 Journal of Kashi University
基金 国家自然科学基金面上项目“融合多样化样本信息的动态数据粒计算建模”(62076221) 福建省2022本科高校教育教学研究项目“基于自适应测试理论的公共数学测试评价改革与实践——以概率统计课程为例”(FB⁃JG20220091).
关键词 自适应测试模型 知识空间理论 知识结构 选题策略 adaptive testing model knowledge space theory structure of knowledge question selection strategy
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