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Study on the Organization and Governance of Bigdata for Lifelong Education

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13202))

Abstract

The open university is carrying out various types of academic and non-academic education to serve the city’s citizens and usually has gained a good reputation in the local area. However, previously, due to its inadequate hardware system, fragmented information system, and incomplete data collection, it carried out various operations more by empirical judgment and lacked objective data support, thus making it impossible to promote the development of a lifelong education system accurately. By collecting, integrating, and analyzing these lifelong education projects, converting them into lifelong education big data, and establishing various lifelong education data visualization and analysis models, we can promote the transformation of life-long education from discrete demand to education big data precision-driven development mode, provide support for the supply-side structural reform of lifelong education, and at the same time improve the leading role of the open university in the construction of lifelong education system, thus promoting the high-quality development of lifelong education for citizens.

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Acknowledgments

This work was supported by grants from the Natural Science Foundation of Guangdong Province No. 2018A0303130082, The Features Innovation Program of the Department of Education of Foshan No. 2019QKL01, Basic and Applied Basic Research Fund of Guangdong Province No. 2019A1515111080.

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Correspondence to Li Ma .

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Ma, L., Yang, Z., Yang, W., Yang, H., Lao, Q. (2022). Study on the Organization and Governance of Bigdata for Lifelong Education. In: Qiu, M., Gai, K., Qiu, H. (eds) Smart Computing and Communication. SmartCom 2021. Lecture Notes in Computer Science, vol 13202. Springer, Cham. https://doi.org/10.1007/978-3-030-97774-0_45

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  • DOI: https://doi.org/10.1007/978-3-030-97774-0_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97773-3

  • Online ISBN: 978-3-030-97774-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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