数据挖掘视角下的试卷质量多维分析评估模型构建初探

Preliminary Study on the Model for Multidimensional Analysis and Evaluation of Test Paper Quality from the Perspective of Data Mining

试卷质量分析与评估是高校教学管理工作中非常重要的一环,能为提高教学质量、改善教学方式以及调整学习方法等提供依据。长期以来,受囿于分析数据源的不足以及处理工具匮乏等原因,试卷质量分析评估大多依然采用传统的分析评估模式,与试卷质量分析评估相关的教学数据没有得到充分有效的挖掘和应用,使得试卷质量分析评估滞后于信息技术的发展。本文以服务于学生的个性发展为目标,立足于高等教育中试卷质量“智慧分析评估”的需求,基于教育大数据构建了顾及数据挖掘特点的试卷质量多维分析评估模型,开展对试卷的多维分析和评估,这不仅有利于建立教务管理部门、教师和学生之间的合作伙伴关系,营造更加包容、自主的教学学习环境,而且也可以促进和推动教育信息化的可持续发展。

Analysis and evaluation of test paper quality is a very important step in the teaching management of colleges, which can give more help for improving teaching quality, improving teaching methods and adjusting learning methods. For a long time, due to the lack of data sources and processing tools, the information data related to the analysis and evaluation of test paper has not been fully and effectively mined and applied, which makes the analysis and evaluation of test paper quality lag behind the new development of information technology and still use the traditional analysis and evaluation model. With the goal of serving the comprehensive development of students, a multidi-mensional analysis and evaluation of the quality of test papers is built, which takes into account the characteristics of data mining based on education big data, the analysis and evaluation of the test paper through this model is not only conducive to establishing a cooperative partnership between the educational administration department, teachers and students, creating a more inclusive and autonomous teaching environment, and it can also promote the sustainable development of educational informatization.