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基于建构性教学观的“数据挖掘技术”课程建设创新探索与实践 被引量:1

Innovative Exploration and Practice of Data Mining Technology CurriculumConstruction Based on Constructive Teaching View
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摘要 对标新工科背景下的一流课程建设目标,以应用型本科大数据专业学生为研究对象,教学团队总结数据挖掘课程教学中存在的四个教学痛点问题,提出“三合-三联”教学范式,构建“一中心,两平台,三环节,四类案例库,五维评价”的教学体系设计方案。采用案例驱动教学和线上线下混合式教学方法对“数据挖掘技术”进行创新型教学体系设计,创新探索主要围绕课程建设体系、课程教学内容、课程教学方法、课程思政案例库建设、超星平台和头歌实践教学平台辅助下的过程化课程考核方法等方面展开,通过师生共同体,以场景化案例为“连接器”,利用信息技术强化实践与互动,实现“应用驱动教学,思政强化专业育人”的教学主旨。五轮教学探索与实践证明本课程的创新体系能够实现高质量应用型本科创新人才的培养。 In order to benchmarking the construction goal of the first-class curriculum under the new situation,the groups of application-oriented undergraduate students majoring in big data are taken as the research object.Four teaching pain points that exists in the teaching of data mining course are summarized,and a teaching paradigm named"three in and three contact"is put forward in this work,meanwhile,the teaching system design scheme of"one center,two platforms,three links,four types of case database and five-dimensional evaluation"is constructed for improved curriculum construction.The inno-vative teaching system of data mining technology is designed by using case driven teaching,incorporating online and offline hybrid teaching methods.The innovative exploration mainly focuses on the curriculum construction system,curriculum teaching content,curriculum teaching methods,the construction of curriculum ideological and political case base,the pro-cess curriculum assessment method assisted by superstar platform and header practice teaching platform,and takes the scene case as the"connector"through the community of teachers and students.By using information technology,practices and interactions are strengthened,and the teaching theme of"application driven teaching,ideological and political strength-ening professional education"is to be realized.The innovative practice and exploration of the purposed curriculum construc-tion method is proved to be effective by five rounds of teaching,which can realize the high-quality cultivation for undergrad-uate innovative talents.
作者 方欢 王丽丽 郭娟 陈小奎 Fang Huan;Wang Lili;Guo Juan;Chen Xiaokui(Anhui University of Science and Technology,Huainan 232001,China)
机构地区 安徽理工大学
出处 《廊坊师范学院学报(自然科学版)》 2023年第3期121-124,128,共5页 Journal of Langfang Normal University(Natural Science Edition)
基金 安徽省重大、重点教学改革研究项目(2020jyxm0441,2020jyxm0443) 安徽省质量工程项目(2020xsxxkc151,2020kfkc183) 安徽理工大学校级教材研究项目(2021xjjcyj04)。
关键词 课程建设 建构性教学 场景化 案例驱动 数据挖掘 curriculum construction constructive teaching scene oriented case driven data mining
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