“数据挖掘”课程运用网络资源的教学探索

在信息技术的推动下,许多高校都在建设网络教学平台,中国大学MOOC等网站也有很多课程的教学视频。运用网络资源对“数据挖掘”课程进行了探索,根据“数据挖掘”课程的特点,合理分配理论教学和实验教学的学时;在理论教学时,讨论网络资源如何影响备课和授课,并且以人工神经网络模型为例,介绍怎样在课堂教学中应用网络资源;从软件环境、实验数据、模型代码等方面,讨论实践教学利用网络资源的方法;根据教学评价结果,改进混合式教学的组织方法,提升“数据挖掘”课程的教学效果。

The Teaching Exploration of Using Network Resources in Data Mining Course

Driven by information technology,many colleges and universities are building online teaching platforms,and there are also teaching videos of many courses on websites such as Chinese University MOOC.This paper explores the course of Data Mining by using network resources,and reasonably allocates the class hours of theoretical teaching and experimental teaching according to the characteristics of this course.In theoretical teaching,this paper discusses how network resources affect lesson preparation and teaching,and introduces how to apply network resources in classroom teaching by taking artificial neural network model as an example.In addition,this paper discusses the methods of using network resources in practical teaching from the aspects of software environment,experimental data and model code.According to the teaching evaluation results,we may improve the organization method of mixed teaching and improve the teaching effect of Data Mining.