大数据时代多视角框架下“统计学”教学改革探索与实践  

Exploration and Practice of Statistics Teaching Reform under the Multi-perspective Framework in the Era of Big Data

作　　者：路春燕[1] 纪志荣[1] 傅玮韡[1] LU Chun-yan;JI Zhi-rong;FU Wei-wei(College of Computer and Information Sciences,Fujian Agriculture and Forestry University,Fuzhou,Fujian 350002,China)

机构地区：[1]福建农林大学计算机与信息学院,福建福州350002

出　　处：《教育教学论坛》2020年第48期239-241,共3页Education And Teaching Forum

基　　金：2020年度福建省教育科学“十三五”规划课题“基于教育大数据的学习分析与干预机制的实证研究—以X大学为例”(FJJKCG20-217);2016年度福建农林大学校级本科教学改革研究项目“以科研应用能力为导向的统计学课程教学改革探讨与实践”(111416148)。

摘　　要：该文在系统分析大数据时代背景下统计学教学改革现状及不足之处的基础上,阐述了基于多视角框架统计学课程教学改革的重要性。该教学改革体系以培养复合型大数据创新人才为中心,涉及教学内容、教学方法、学生参与、考核方式、师资培训以及实践教学平台等6个视角,各视角间彼此联系相互补充,将大数据知识和技能渗透到教学的各个环节。实践结果表明,针对大数据时代要求的多视角教学改革可有效激发学生学习的主动性,促进学生统计学知识的掌握,并取得了较为满意的教学效果。Based on the systematic analysis of the status quo and deficiencies of statistics teaching reform in the big data era,this paper expounds the importance of statistics teaching reform based on a multi-perspective framework.The teaching reform system focuses on cultivating compound innovative talents of big data,which involves six perspectives,i.e.teaching content,teaching method,student participation,evaluation mode,teacher training,and practical teaching platform.The various perspectives are connected to each other and complement each other,infiltrating big data knowledge and skills into all links of teaching.Practice results show that the multi-perspective teaching reform based on the requirements of the big data era can effectively stimulate students'initiative in learning,promote students'mastery of statistical knowledge,and achieve satisfactory teaching results.

关 键 词：统计学 大数据时代 多视角框架 教学改革 

分 类 号：G642[文化科学—高等教育学]