网络实验教学平台评价系统的研究与设计

摘要

针对实验教学平台对学习评价往往只停留在测试、作业等方面,仅靠成绩对学习结果进行评价显然是不合理的;实验教学又是对理论知识的进一步理解和掌握,能体现出学生的动手能力的目的.采用数据挖掘技术完善网络实验评价指标体系,通过对评价指标体系中的数据进行挖掘作为原始数据,对原始数据进行处理,并输出评价结果,从而形成对学生网络实验学习的全面评价.因此,提出了网络实验教学平台评价系统.此系统可以实现网络实验学习评价的自动化、提高网络实验教学平台评价的效率和准确率.%According to the experimental teaching platform for learning evaluation tend to stay in the test, homework, etc., only by the results to evaluate the result of the study is obviously unreasonable;Experiment teaching is to further understand and master the theoretical knowledge, can reflect the purpose of students' practical ability. By using data mining technology to improve network experiment evaluation index system, based on the evaluation index system of data mining as an original data, to deal with the original data, and outputs the evaluation results, thus forming a network experiment study of comprehensive evaluation for students. Therefore, network experimental teaching platform evaluation system was put forward. This system can realize the automation of network learning evaluation experiment, improve the efficiency of the network experimental teaching platform evaluation, and accuracy.