过程控制工程课程混合式教学中学生学习风格模型的构建及应用实践

大学生线上线下混合式教学中存在问题产生原因之一是缺乏对网络环境下学生行为数据的分析,从而无法判断学生的学习风格。因而基于数据挖掘技术,利用网络学习平台收集过程控制工程课程学习行为数据,建立基于灰狼算法优化支持向量机构建多维度的学习风格模型,处理和预测其可能的学习风格。有助于教师及时掌握学生动态,调整线上线下混合式教学方案,实现因材施教的个性化教学模式。

One of the reasons for the problems in the online and offline hybrid teaching of college students is the lack of analysis of students'behavior data in the network environment,so it is impossible to judge students'learning style.Based on the data mining technology,this paper collects the learning behavior data of Process Control Engineering course by using the network learning platform,establishes a multi-dimensional learning style model based on the Grey Wolf algorithm optimization support vector mechanism,and processes and predicts its possible learning styles.This research is helpful for teachers to grasp the students'trends in time,adjust the mixed teaching scheme of online and offline,and realize the individualized teaching mode of individualized teaching.