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大数据背景下大学生学习效果评价系统设计研究 被引量:1

Research on the Design of College Students’ Learning Effect Evaluation System under the Background of Big Data
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摘要 基于大数据的技术特征,笔者提出设立数据收集平台,结合信息技术和传统的数据分析工具,检索和分析湖南理工学院学生的日常行为,运用对象的反馈评价机制,研究学生评估系统的运作机制,希望为学院的学生管理提供一些帮助。 Based on the technical characteristics of big data,the author propose to set up a data collection platform,combine information technology and traditional data analysis tools,retrieve and analyze the daily behavior of students of Hunan Institute of Technology,and use the feedback evaluation mechanism of the object to study the operation mechanism of the student evaluation system,hoping to provide some help for the student management of the college.
作者 曹赛衍 周瑞玲 莫雨婷 刘斌 陈名川 Cao Saiyan;Zhou Ruiling;Mo Yuting;Liu Bin;Chen Mingchuan(School of Computer and Information Science,Hunan Institute of Technology,Hengyang Hunan 421002,China;School of Mechanical Engineering,Hunan Institute of Technology,Hengyang Hunan 421002,China;Foreign Language School,Hunan Institute of Technology,Hengyang Hunan 421002,China)
出处 《信息与电脑》 2019年第23期235-236,239,共3页 Information & Computer
基金 2018年度湖南省大学生研究性学习和创新性实验计划项目“大数据环境下大学生学习效果评价系统设计与研究”(项目编号:HNDC1806)
关键词 大数据背景 大学生学习效果 评价系统 big data background college students’learning effect evaluation system
作者简介 曹赛衍(1996-),男,湖南邵东人,本科。研究方向:计算机应用技术;通讯作者:周瑞玲(1980-),女,广西玉林人,本科,实验师。研究方向:计算机应用技术。E-mail:56779568@qq.com。
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  • 1Arbaugh, J. B. (2002). Managing the on-line classroom : a study of technological and behavioral characteristics of web-based MBA courses [ J ]. Journal of High Technology Management Research, 13:203-223.
  • 2Aragon, S. R. , & Johnson, E. S. ( 2008 ). Factors influencing completion and noncompletion of community college online courses [ J ]. American Journal of Distance Education ,22 : 146-458.
  • 3Bergendahl, C. , & Tibell, L. (2005). Boosting complex learning by strategic assessment and course design [ J ]. Journal of Chemical Educa-tion, 82 : 645 -651.
  • 4Chen, C. - M. , & Chert, M. - C. ( 2009 ). Mobile formative as- sessment tool based on data mining techniques for supporting web-based learning [ J ]. Computers & Education, 52 : 256-273.
  • 5Chau, P. Y. K. , & Hu, P. J. - H. ( 2001 ). Information technolo- gy acceptance by individual professionals:A model comparison approach [ J]. Decision Sciences,32:699-719.
  • 6Graeme, M. , Massey, J. , & Clarke, T. (2003), When absorptive capacity meets institutions and (e)learners:adopting, diffusing and exploi- ting e-learning in organisations[ J ]. International Journal of Training and Development ,g : 228 -44.
  • 7Gold ,J. , Rodgers, H. and Smith, V. (2003), What is the fu- ture of the human resource development professional? AUK perspective [ J]. Human Resource Development International ,4:437-56.
  • 8Horton, R., Buck,T., Waterson, P., & Clegg, C. ( 2001 ). Ex- plaining intranet use with the technology acceptance model[ J]. Journal of Information Technology, 16:237-249.
  • 9Lee, Y. - H. , Hsieh, Y. - C. , & Hsu, C. - N. ( 2011 ). Adding Innovation Diffusion Theory to the Technology Acceptance Model: Sup- porting Employees" Intentions to use E-Learning Systems [ J ]. Educational Technology & Society,14 (4) :124-137.
  • 10Moisey, S. D. , & Hughes, J. A. ( 2008 ). Supporting the online learner[A]. In T. Anderson (Ed.). The theory and practice of online learning ( pp. 419-439 ; 2nd ed. ) [ M ]. Edmonton, Canada : AU Press.

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