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作 者:刘颖[1] LIU Ying(School of Information Scince and Engineering,Chongqing Jiaotong University,Chongqing 400074,China)
机构地区:[1]重庆交通大学信息科学与工程学院,重庆400074
出 处:《计算机应用文摘》2022年第1期1-5,共5页Chinese Journal of Computer Application
基 金:重庆交通大学教育教学改革研究项目(2003048)。
摘 要:如今,大数据技术已经应用到各行各业,发挥着不可替代的作用,创造着不可估量的价值。传统的“(理论课)黑板+粉笔+多媒体+(实验课)实践”教学模式已经严重不符合课程教学要求。因此,文章对基于Python的大数据分析与可视化“理实一体”教学模式进行了探索与实践,提出在课堂实施“理论讲解+案例演示+操作实践+课堂小测”四个教学环节,其中“案例演示+操作实践”循环进行,实现理中有实,实中有理。把理论、练习、实践融于一体,激发了学生的主动性、积极性,在增强学生的动手能力和解决问题的能力方面具有重要意义。本文对教学环境的搭建、教学内容的选择与组织、教学过程设计、教学实效四个方面进行了详细阐述,希望为“基于Python的大数据分析与可视化”的教育教学提供参考与借鉴。In nowadays,the technology of big data has been extensively implemented in various professions and trades due to its irreplaceable status and immeasurable value.Nevertheless,the traditional teaching model characterized as“Blackboard+Chalk+Multimedia+(Experiment)practice”can no longer coordinate with such knowledge structure.Therefore,the author not only exploited but also actualized a novel teaching model that integrated theory and practice as one for big data analysis and visualization based on Python.Specifically,four teaching stages consist of“Theory explanation+Case demonstration+Operation practice+Classroom quiz”was implemented during the whole educational process,among which the steps of“Case demonstration+Operation practice”were carried out iteratively to ensure that theory and practice could be tightly bonded.Taking theory and practice as a whole,their chasm is evidently narrowed,which also highly stimulated the initiative and enthusiasm of students,thus showing significant effect in enhancing students'abilities of manipulation as well as problem-solving.This paper presented from four aspects:establishment of the teaching environment,selection and organization of the teaching content,design of the teaching process,and the teaching effect.We hope it provide with a significant value of reference for the advanced education of big data analysis and visualization.
关 键 词:PYTHON 大数据分析 可视化 理实一体 教学模式 探索与实践
分 类 号:G642[文化科学—高等教育学]
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