基于信息理论的高校课程全过程考核成绩分析方法研究

Research on the analysis method of college curriculum process assessment results based on information theory

高等教育改革深入开展,形成性评价是课程教学评价必然趋势,教学全过程考核的数据信息分析是达成形成性评价目标的关键。基于数据聚类技术和信息熵理论,建立全过程考核成绩的评价等级识别算法和熵权计算模型,对构成复杂、来源多元、数值差距较大的过程考核成绩进行等级评价和总评计算,形成准确可信的评价结果,能客观公正地评价学生学习成就在群体中的地位和水平。"材料轧制成形工艺"案例仿真说明了算法模型的实用性和有效性。

With the deepening of higher education reform, formative evaluation is the inevitable trend of curriculum teaching assessment, and the information analysis of the whole process of teaching assessment is the key to achieve the goal of formative evaluation. Based on data clustering technology and information entropy theory, the evaluation grade recognition algorithm and entropy weight calculation model of the whole process assessment results are established. By this algorithm model, the final score and grade are carried out for the process assessment results with complex composition,multiple sources and large numerical difference, forming accurate and reliable evaluation results, which can objectively and fairly evaluate the status and level of students’ learning achievements in the group. A case study of "material rolling forming process" shows the practicability and effectiveness of the algorithm model.