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Curriculum Reformation of University of Applied Sciences in the Big Data Era in China

Received: 17 June 2019    Accepted: 22 July 2019    Published: 8 August 2019
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Abstract

Higher education is facing many emerging challenges in the big data era, curriculum has to be reconstructed with big data technologies to get teaching and learning better and better, cause big data technologies has the abilities to mining magnanimity data produced and predict the important parts in the education process. Curriculum of university of applied sciences is a new type vocational and educational course in higher education, birth in the big date era, must be constructed with big data technologies, such as data mining, statistical analysis, mathematic model, cloud computing. Tianjin Sino-German University of Applied Sciences, the first university of applied sciences in Mainland China, deployed big data technologies including date collection, data storage, data analysis, and data visualization to it’s curriculum reform, reforming links with curriculum design, curriculum development, curriculum implementation and curriculum evaluation, constructing a Dual Curriculum System is characterized by Chinese universities of applied sciences, resolving various contradictions and problems in the development of university of applied sciences. The curriculum reformation advances the process of constructing course, and improve the output of teaching and learning. Nevertheless, we found the big data talents is not sufficient, and the big data facilities cannot meet high quality of operation demand, these insufficient factors must be solved to make the dual curriculum system perfect. Moreover, Tianjin Sino-German University of Applied Science’s curriculum reformation can be provided useful experience and lessons for many other universities of applied science, also can be reference for international universities of applied sciences.

Published in Education Journal (Volume 8, Issue 5)
DOI 10.11648/j.edu.20190805.11
Page(s) 168-174
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

The Big Data Era, University of Applied Sciences, Dual Curriculum System

References
[1] The State Council. the Outline for the Promotion of Big Data Development. http://www.gov.cn/zhengce/content/2015-09/05/content_10137.htm.
[2] Ben Kei Daniel, Big Data and Learning Analytics in Higher Education: Current Theory and Practice, Springer International Publishing Switzerland, 2017, pp. 22.
[3] Dilly Fung, A Connected Curriculum for Higher Education, UCL Press, 2017, pp. 8.
[4] Tao Yongqin, The Application Research of the Knowledge Evolution for School-Enterprise Collaborative Model under the Big Data Environment. Hans Journal of Data Mining, 2015, pp. 8-15.
[5] Ayesha Bashiruddin, Teacher Development and Teacher Education in Developing Countries, Macmillan Publishers Ltd, 2018, pp. 3.
[6] Schwab K. Fourth Industrial Revolution. New York: Crown Business, 2017. pp. 4.
[7] A. Said and V. Torra (eds.), Data Science in Practice, Studies in Big Data. Springer International Publishing AG, 2019. pp. 1.
[8] Orr D W. Earth in mind: On education, environment, and the human prospect. Washington DC: Island Press, 2004, pp. 125.
[9] Ralph W. Tyler, Basic Principles of Curriculum and Instruction. Beijing China Light Industry Press, 2016, pp. 5.
[10] Allan C. Ornstein, Francis P. Hunkins, Curriculum: Foundations, PrinciPles, and issues, Pearson Education Limited, 2018, pp. 31.
[11] Kristen R. Stephens, Frances A. Karnes, Introduction to Curriculum Design in Gifted Education, Prufrock Press, 2016. pp. 57.
[12] Mirva Virtanen. Education and its structures must be reformed new publication tells us how to do it. https: //www. tuas. fi/en/articles/297/education-and-its-structures-must-be-reformed-new-publication-tells-us-how-do-it/.
[13] Sandra Leaton Gray, David Scott, Peeter Mehisto, Curriculum Reform in the European Schools, Palgrave Macmillan, 2018, pp. 105.
[14] Curriculum Planning: Integrating Multiculturalism, Constructivism, and Education Reform, Springer International Publishing, pp. 7.
[15] Rhiannon D. Williams, Amy Lee, Internationalizing Higher Education: Critical Collaborations across the Curriculum, Sense Publishers, 2015, pp. 3.
Cite This Article
  • APA Style

    Xu Chengying, Wang Yaping, Wang Minghao. (2019). Curriculum Reformation of University of Applied Sciences in the Big Data Era in China. Education Journal, 8(5), 168-174. https://doi.org/10.11648/j.edu.20190805.11

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    ACS Style

    Xu Chengying; Wang Yaping; Wang Minghao. Curriculum Reformation of University of Applied Sciences in the Big Data Era in China. Educ. J. 2019, 8(5), 168-174. doi: 10.11648/j.edu.20190805.11

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    AMA Style

    Xu Chengying, Wang Yaping, Wang Minghao. Curriculum Reformation of University of Applied Sciences in the Big Data Era in China. Educ J. 2019;8(5):168-174. doi: 10.11648/j.edu.20190805.11

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  • @article{10.11648/j.edu.20190805.11,
      author = {Xu Chengying and Wang Yaping and Wang Minghao},
      title = {Curriculum Reformation of University of Applied Sciences in the Big Data Era in China},
      journal = {Education Journal},
      volume = {8},
      number = {5},
      pages = {168-174},
      doi = {10.11648/j.edu.20190805.11},
      url = {https://doi.org/10.11648/j.edu.20190805.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.edu.20190805.11},
      abstract = {Higher education is facing many emerging challenges in the big data era, curriculum has to be reconstructed with big data technologies to get teaching and learning better and better, cause big data technologies has the abilities to mining magnanimity data produced and predict the important parts in the education process. Curriculum of university of applied sciences is a new type vocational and educational course in higher education, birth in the big date era, must be constructed with big data technologies, such as data mining, statistical analysis, mathematic model, cloud computing. Tianjin Sino-German University of Applied Sciences, the first university of applied sciences in Mainland China, deployed big data technologies including date collection, data storage, data analysis, and data visualization to it’s curriculum reform, reforming links with curriculum design, curriculum development, curriculum implementation and curriculum evaluation, constructing a Dual Curriculum System is characterized by Chinese universities of applied sciences, resolving various contradictions and problems in the development of university of applied sciences. The curriculum reformation advances the process of constructing course, and improve the output of teaching and learning. Nevertheless, we found the big data talents is not sufficient, and the big data facilities cannot meet high quality of operation demand, these insufficient factors must be solved to make the dual curriculum system perfect. Moreover, Tianjin Sino-German University of Applied Science’s curriculum reformation can be provided useful experience and lessons for many other universities of applied science, also can be reference for international universities of applied sciences.},
     year = {2019}
    }
    

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    AB  - Higher education is facing many emerging challenges in the big data era, curriculum has to be reconstructed with big data technologies to get teaching and learning better and better, cause big data technologies has the abilities to mining magnanimity data produced and predict the important parts in the education process. Curriculum of university of applied sciences is a new type vocational and educational course in higher education, birth in the big date era, must be constructed with big data technologies, such as data mining, statistical analysis, mathematic model, cloud computing. Tianjin Sino-German University of Applied Sciences, the first university of applied sciences in Mainland China, deployed big data technologies including date collection, data storage, data analysis, and data visualization to it’s curriculum reform, reforming links with curriculum design, curriculum development, curriculum implementation and curriculum evaluation, constructing a Dual Curriculum System is characterized by Chinese universities of applied sciences, resolving various contradictions and problems in the development of university of applied sciences. The curriculum reformation advances the process of constructing course, and improve the output of teaching and learning. Nevertheless, we found the big data talents is not sufficient, and the big data facilities cannot meet high quality of operation demand, these insufficient factors must be solved to make the dual curriculum system perfect. Moreover, Tianjin Sino-German University of Applied Science’s curriculum reformation can be provided useful experience and lessons for many other universities of applied science, also can be reference for international universities of applied sciences.
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Author Information
  • Teaching Affairs Department, Tianjin Sino-German University of Applied Sciences, Tianjin, China

  • Teaching Affairs Department, Tianjin Sino-German University of Applied Sciences, Tianjin, China

  • School of Aeronautics and Astronautics, Tianjin Sino-German University of Applied Sciences, Tianjin, China

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