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International Conference of Pioneering Computer Scientists, Engineers and Educators

ICPCSEE 2017: Data Science pp 453–458Cite as

Reform of Teaching Mode in Universities Based on Big Data

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 728))

Abstract

With the rapid development of information technology, college teaching into the era of big data, the traditional teaching model has been unable to meet the needs of future innovative personnel training, big data technology brings challenges and opportunities to college education. This paper expounds the impact of big data on the traditional teaching mode, and proposes a new teaching model based on the big data mind set. It aims to improve the teaching effect, enhance the student interest and inject new vitality into the college teaching.

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References

  1. Ministry of Education: Education Informative Thirteen Five Plan. http://www.moe.edu.cn, 2016,6,7

  2. Siming, Zhu: Construction of Digitizing Teaching Model Based on Big Data. Microcomputer Applications 31(5), 42–49 (2015)

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  4. Zhao Jingyan, Hu, Zhenbo, : Research on the Informative Teaching Mode of University under the Environment of Big Data. Information Science 34(1), 92–103 (2016)

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  5. Xiaoji, Yu.: Research on the Establishment of Personalized Teaching Mode Based on the Big Datas Application. Information Science 33(11), 53–56 (2015)

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  6. Ying, X., Qi, S.: Discussion on Innovative Teaching of Computer Application Basic Course in Big Data Age. China Computer and Communication, 2015, no.13, pp. 172–175

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Acknowledgements

This work is supported by 2015 Heilongjiang University New Century Education and Teaching Reform Project (NO. 2015B76). Many thanks to the anonymous reviewers, whose insightful comments made this a better paper.

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Authors and Affiliations

  1. Department of Electronic Engineering, Heilongjiang University, Harbin, Heilongjiang, China

    Bing Zhao & Li Fu

Authors
  1. Bing Zhao
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  2. Li Fu
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Corresponding author

Correspondence to Bing Zhao .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Beiji Zou

  2. Harbin Engineering University, Harbin, China

    Qilong Han

  3. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

  4. Northeast Forestry University, Harbin, China

    Weipeng Jing

  5. Huaihua University, Huaihua, Hunan, China

    Xiaoning Peng

  6. Sciences of Country Tripod Institute of Data Science, Harbin, China

    Zeguang Lu

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© 2017 Springer Nature Singapore Pte Ltd.

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Cite this paper

Zhao, B., Fu, L. (2017). Reform of Teaching Mode in Universities Based on Big Data. In: Zou, B., Han, Q., Sun, G., Jing, W., Peng, X., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-10-6388-6_38

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  • DOI: https://doi.org/10.1007/978-981-10-6388-6_38

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6387-9

  • Online ISBN: 978-981-10-6388-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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