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Research on the Reform and Construction of Computer Basic Courses Based on Big Data

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Computer Science and Education (ICCSE 2022)

Abstract

The era of big data has come and is quietly changing the traditional industry. How to use big data technology to promote the development and reform of the education industry and actively explore the integration and innovative application of big data and education is an urgent problem to be solved in the development of education in the new era. Based on big data technology, this paper designs educational reform from many aspects, including teaching methods, personalized education and intelligent education. The research on Curriculum Teaching Reform under the background of big data is of great significance, which provides a reference for the reform and construction of computer basic courses in local colleges and universities, and points out the direction for the optimization and upgrading of existing teaching modes.

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Acknowledgment

This work was supported in part by the Provincial key education reform projects: “Research on the construction of computer professional talent training system driven by the professional certification of engineering education and the integration of industry and education” (xjt [2021] No. 298/hnjg-2021-0185), “exploration and practice of network security excellent talent training path under the background of new engineering” (xjt [2019] No. 291/807); School enterprise cooperation and collaborative education project of the Ministry of Education: “school enterprise cooperation practice conditions and practice base construction” (201801193101), “information security and advanced language programming curriculum content construction” (201801049050), “information security curriculum system construction” (201801087011), “innovation and entrepreneurship education reform of big data specialty based on school enterprise cooperation” (202101055048), “Construction of innovation and entrepreneurship curriculum system for network engineering” (201802153236), “innovation and entrepreneurship education reform for big data talent training” (201802070200); School level educational reform projects: “Research on the construction of computer professional talent training system driven by engineering education certification and the integration of industry and education” (Huai Yuan Fa [2021] No. 69-2021120), “data structure (curriculum ideological and political demonstration courses, famous teachers and teaching teams)” (Huai Yuan Fa [2021] No. 25/8), “Research on the construction and data analysis of agricultural product quality maintenance and quality traceability system based on big data” (znkzd2020-1); Teaching reform project of National Institute of computer basic education in Colleges and Universities: “reform and construction of computer basic courses based on big data” (2020-afcec-136), “Research on network security prevention and effect evaluation of college students in the new era under the concept of curriculum ideology and politics” (2021-afcec-258); Provincial Education Planning Project: “Research on promoting accurate and intelligent matching between employment supply and demand with big data technology” (xj212259); Projects of Provincial Social Science Review Committee: “Research on network security education and preventive measures for college students from the perspective of Ideological and political education” (xsp21ybc177), “Research on artificial intelligence promoting high-quality employment of college students” (xsp22ybz058); Projects of Municipal Social Science Evaluation Committee: “Research on academic early warning of students with learning difficulties based on big data” (hsp2021yb101), “Research on network security decision-making of College Students under the background of smart campus” (hsp2021yb102).

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Yang, Y., Yang, Y., Shu, H. (2023). Research on the Reform and Construction of Computer Basic Courses Based on Big Data. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1812. Springer, Singapore. https://doi.org/10.1007/978-981-99-2446-2_5

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  • DOI: https://doi.org/10.1007/978-981-99-2446-2_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2445-5

  • Online ISBN: 978-981-99-2446-2

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