基于数据挖掘的虚拟仿真实验教学量化分析

发布时间：2018-04-12 18:16

本文选题：虚拟仿真 + 数据挖掘　；参考：《实验室研究与探索》2017年09期

【摘要】：作为实际实验教学的重要补充,基于互联网平台的虚拟仿真实验教学实践过程中生成了大量的学生学习行为数据。为了研究虚拟仿真实验教学与实际实验教学成绩的关系,识别虚拟仿真实验教学中的新行为模式,利用数据挖掘技术对化学化工虚拟仿真实验教学过程数据进行了分析。通过研究虚拟-现实实验成绩之间的相关性、因果性以及学习时间对成绩的影响,发现理论学习、实际操作成绩与偏重于流程训练的简单虚拟仿真实验项目的相关性较小,与机理型复杂虚拟仿真实验项目相关性较大;虚拟仿真实验的开展对实际实验均有不同程度的促进作用。
[Abstract]:As an important supplement to the actual experimental teaching, the virtual simulation experiment teaching based on the Internet platform generates a large number of students' learning behavior data.In order to study the relationship between the virtual simulation experiment teaching and the actual experiment teaching achievement and identify the new behavior pattern in the virtual simulation experiment teaching, the data of the chemistry and chemical industry virtual simulation experiment teaching process were analyzed by using the data mining technology.By studying the correlation between the results of virtual reality experiments and the influence of causality and learning time on the results, it is found that the correlation between the theoretical learning, practical performance and the simple virtual simulation experiment project, which emphasizes on process training, is relatively small.It has a great correlation with the mechanism complex virtual simulation experiment project, and the virtual simulation experiment can promote the actual experiment to some extent.
【作者单位】：西南大学化学化工学院;
【基金】：西南大学博士基金项目(SWU114021);西南大学基本科研业务费(XDJK2015C101)
【分类号】：G642;TP391.9;TQ02-4

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