The Quality Assessment of Student Learning Based on Cloud Model

摘要

In traditional tutoring system, the qualityassessment of student learning is identified by harddivision regardless of the uncertainty of results. In thepaper, Cloud Model Theory was applied to build studentmodel in Intelligent Tutoring System. And a qualityassessment approach of student learning based on cloudmodel was proposed. Students’ test scores are regarded ascloud droplets, and data is discretized according tocontribution of the cloud concept in the research.Furthermore, cloud transform algorithm is introduced tocompute membership cloud. Finally, maximumdetermination algorithm is used to obtain more actualgrade division of learning quality. Experimental resultsshow that membership concept can reflect not only themastery level of knowledge points but also the stability andpsychology in the process of student learning. The studywill help improve the efficiency of Intelligent TutoringSystem.