试题分析中智能疑难知识点诊断的设计和应用

Design and Application of Diagnosed in Difficult Knowledge to Analysis Test Paper

目的目前我们已经通过无纸化方式获取了某课程实验考核的所有数据,期望对现有的数据进行分析统计,及时发现实验中学生存在的疑难点并解决。方法常规的分析方法还缺少了对学生成绩变化趋势和能力等学生信息的进一步分析。本文把数据挖掘技术用于某课程的试题分析,创新地提出了基于知识点的试卷分析方法,并给出疑难知识点的诊断方法。结果用该方法对某年级学生实验数据进行分析并提取疑难知识点。结论通过实验数据与传统的方法比较,证明该方法是有效可行的。

Objective We have already obtained all data that examine of some course experiment through the paperless way at present, expect to analyze and count the existing data, find the difficulty that the student of the experiment exists is clicked and solved in time. Methods The regular analytical method has also lacked and trended towards the further analysis in student＇s information such as knowing and ability to student＇s achievement change. This article excavates technology of the data mining for Analysis on test paper of some courses, have proposed the paper analytical method based on knowledge, provide the diagnosis method of difficult knowledge. Results Analyze to student＇s experimental data of one grade and the difficult knowledge ahead of time is clicked by this method. Conclusion Compared with traditional method through the experimental data, prove this method is effective and feasible.