Curriculum Reform in Big Data Education at Applied Technical Colleges and Universities in China
With the boom in data science, big data education has received increasing attention from all kinds of colleges and universities in China, and many of them are in a rush to offer big data education. This paper first analyzes the major areas of big data capability training and the Chinese market needs...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8822937/ |
| _version_ | 1818323631362539520 |
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| author | Xin Li Xiaoping Fan Xilong Qu Guang Sun Chen Yang Biao Zuo Zhifang Liao |
| author_facet | Xin Li Xiaoping Fan Xilong Qu Guang Sun Chen Yang Biao Zuo Zhifang Liao |
| author_sort | Xin Li |
| collection | DOAJ |
| description | With the boom in data science, big data education has received increasing attention from all kinds of colleges and universities in China, and many of them are in a rush to offer big data education. This paper first analyzes the major areas of big data capability training and the Chinese market needs for various kinds of data science talent. Then, it discusses the curriculum design process for the “Data Science & Big Data Technology” bachelor's degree program, and summarizes some detailed approaches to improving teaching experiments. Finally, this paper proposes a graduating student profile for big data education at applied technical colleges and universities in China. The authors' main ideas include that, at the applied technical colleges and universities, a) a suitable graduating student orientation should be determined as the big data talent needs are hierarchical; b) the redesigned curriculum in big data education should provide students more practical capabilities and knowledge; c) the teaching of the existing mainstream big data technologies and tools should be significant components in the syllabi of big data education. |
| first_indexed | 2024-12-13T11:15:46Z |
| format | Article |
| id | doaj.art-df29a57369874e35942c9d384d01cb9a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T11:15:46Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-df29a57369874e35942c9d384d01cb9a2022-12-21T23:48:37ZengIEEEIEEE Access2169-35362019-01-01712551112552110.1109/ACCESS.2019.29391968822937Curriculum Reform in Big Data Education at Applied Technical Colleges and Universities in ChinaXin Li0https://orcid.org/0000-0001-7600-6562Xiaoping Fan1Xilong Qu2Guang Sun3https://orcid.org/0000-0002-2207-1681Chen Yang4Biao Zuo5Zhifang Liao6https://orcid.org/0000-0002-5525-904XSchool of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaSchool of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaSchool of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaSchool of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaSchool of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaSchool of Information Technology and Management, Hunan University of Finance and Economics, Changsha, ChinaSchool of Computer Science and Engineering, Central South University, Changsha, ChinaWith the boom in data science, big data education has received increasing attention from all kinds of colleges and universities in China, and many of them are in a rush to offer big data education. This paper first analyzes the major areas of big data capability training and the Chinese market needs for various kinds of data science talent. Then, it discusses the curriculum design process for the “Data Science & Big Data Technology” bachelor's degree program, and summarizes some detailed approaches to improving teaching experiments. Finally, this paper proposes a graduating student profile for big data education at applied technical colleges and universities in China. The authors' main ideas include that, at the applied technical colleges and universities, a) a suitable graduating student orientation should be determined as the big data talent needs are hierarchical; b) the redesigned curriculum in big data education should provide students more practical capabilities and knowledge; c) the teaching of the existing mainstream big data technologies and tools should be significant components in the syllabi of big data education.https://ieeexplore.ieee.org/document/8822937/Applied Technical Colleges and Universitiesbig data educationcurriculum reform |
| spellingShingle | Xin Li Xiaoping Fan Xilong Qu Guang Sun Chen Yang Biao Zuo Zhifang Liao Curriculum Reform in Big Data Education at Applied Technical Colleges and Universities in China IEEE Access Applied Technical Colleges and Universities big data education curriculum reform |
| title | Curriculum Reform in Big Data Education at Applied Technical Colleges and Universities in China |
| title_full | Curriculum Reform in Big Data Education at Applied Technical Colleges and Universities in China |
| title_fullStr | Curriculum Reform in Big Data Education at Applied Technical Colleges and Universities in China |
| title_full_unstemmed | Curriculum Reform in Big Data Education at Applied Technical Colleges and Universities in China |
| title_short | Curriculum Reform in Big Data Education at Applied Technical Colleges and Universities in China |
| title_sort | curriculum reform in big data education at applied technical colleges and universities in china |
| topic | Applied Technical Colleges and Universities big data education curriculum reform |
| url | https://ieeexplore.ieee.org/document/8822937/ |
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