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独立数据流驱动的教学过程质量监控机制研究
引用本文:章晓芳,刘纯平,赵 雷.独立数据流驱动的教学过程质量监控机制研究[J].教育技术导刊,2021,19(12):23-27.
作者姓名:章晓芳  刘纯平  赵 雷
作者单位:苏州大学 计算机科学与技术学院,江苏 苏州 215006
基金项目:国家自然科学基金项目(61772263);教育部产学合作协同育人项目(201802217015);江苏省重中之重教改项目(2017JSJG001)
摘    要:教学过程质量监控是本科人才培养体系重要环节,也是确保以成果产出为导向的工程教育人才培养的前提。现有的教学过程质量监控往往存在流程复杂、数据混用、责权不清等问题,基于计算机类工程教育人才培养实践,提出一种改进的独立数据流驱动教学过程质量监控机制。该机制以本科教学中心为数据汇集与分发中心,针对课程体系、教学大纲、教学过程、教学考核等环节给出数据流驱动实施方法。实践证明,该轻量级数据流驱动的质量监控机制可实施性强,能够为教学活动顺利开展和学生能力培养提供有效的持续改进保障,从而把学生培养成为具有“责任感、创新性、应用性和国际性”的创新人才,满足社会需求。

关 键 词:工程教育  数据流驱动  教学过程质量监控  新工科  
收稿时间:2020-07-14

Research on the Teaching Quality Control Mechanism Driven by the Independent Data Flow
ZHANG Xiao-fang,LIU Chun-ping,ZHAO Lei.Research on the Teaching Quality Control Mechanism Driven by the Independent Data Flow[J].Introduction of Educational Technology,2021,19(12):23-27.
Authors:ZHANG Xiao-fang  LIU Chun-ping  ZHAO Lei
Institution:School of Computer Science and Technology, Soochow University, Suzhou 215006, China
Abstract:The quality monitoring of teaching process is an important part in the undergraduate student training system, and also the core premise to ensure the training of outcome based education. The quality control of the existing teaching process often encountered problems such as complicated process, mixed data and unclear responsibility. Based on the practice of engineering education for computer, this paper puts forward an improved independent data flow driven quality control mechanism of teaching process. The mechanism takes the undergraduate teaching center as the data collection and distribution center, and gives the specific data flow driven implementation method of the teaching aspects such as curriculum system, syllabus, teaching process and teaching assessment. Practice has proved that the lightweight data flow driven quality control mechanism is easy to implement and can provide effective continuous improvement guarantee for the smooth development of teaching activities and the cultivation of students’ abilities, so as to train students to become innovative talents with “responsibility, innovation, application and internationality” and better meet the training needs.
Keywords:engineering education  data-flow driven  teaching process quality control  new engineering disciplines  
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