基金项目

数据挖掘课程混合式教学改革探索

展开
  • 新疆财经大学 统计与数据科学学院
葛晓燕(1980-),女,新疆乌鲁木齐人,博士,副教授,研究方向为数据挖掘、网络优化。

网络出版日期: 2021-09-02

基金资助

新疆财经大学“金课”建设项目《数据挖掘线下“金课”建设》,项目编号:2020JKB06。 

Exploring on Mixed Teaching Reform of Data Mining Course

Expand
  • Xinjiang University of Finance and Economics

Online published: 2021-09-02

摘要

基于数据挖掘课程的特点和目前教学中存在的问题,对数据挖掘课程进行混合式教学改进探索,优化教学内容, 丰富教学模式,完善考核评价体制,实现学习的过程化管理,采用分层次、递进式实践练习任务促进数据挖掘算法原理的理解 和应用,逐步从“以教师为中心”的教学模式向“以学生为中心”的模式转变。实践证明改进的混合式教学模式调动了学生学习 积极性,加强了理论知识的掌握,提高了应用实践能力。

本文引用格式

葛晓燕 . 数据挖掘课程混合式教学改革探索[J]. 电脑与电信, 2021 , 1(6) : 43 -46 . DOI: 1008-6609(2021)06-0043-04

Abstract

Based on the characteristics of data mining course and the existing problems in the teaching, this paper studies the hybrid teaching improvement of data mining course, optimizes the teaching content, enriches the teaching mode, and improves the assessment and evaluation system to realize the process management of learning. The implementation of hierarchical and progressive practice tasks is used to promote the understanding and application of the principle of data mining algorithm, gradually from "Teacher centered" teaching mode to "student-centered" mode. Practice has proved that the improved mixed teaching mode can mobilize the students' learning enthusiasm, strengthen the mastery of theoretical knowledge and improve the ability of application and practice.
Options
文章导航

/