RESEARCH ON IMPROVING PROCESS ASSESSMENT SYSTEM OF DISTANCE EDUCATION BASED ON DATA MINING

Yao Jun, Cheng Hua, and Ying Wei Yong
Distance Education Institute of East China
University of Science and Technology
China

In order to promote students’ interests in courses, and enhance teaching design for management, the process assessment system is applied to the student’s whole learning process, such as attending lectures, assignments, discussions and examination. The parameters in assessments system are usually designated via experiences. According to the normal distribution of population, we utilize the k-means to cluster the parameters of assessment, and discuss the relationship between the parameters and the final score. It is concluded that the assessment system need to be perfected further, and more help should be offered for the distance learners.

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