Author(s)

Chengqiang Wang ¹, Xiangqing Zhao ¹, Hongyao Jiang ², Li Hao ²

Affiliation(s)

¹ School of Mathematics and Physics, Suqian University, Suqian, Jiangsu, 223800, China
² School of Mathematics and Statistics, Qinghai Normal University, Xining, Qinghai, 810008, China

Corresponding Author

Chengqiang Wang

ABSTRACT

Recognizing the importance of big data and big data technology, an increasing number of colleges and universities in China have established majors related to this field. With experience in educating these majors and encountering new challenges, it is necessary to optimize the curriculum for majors related to big data. To better prepare college students for the job market, colleges and universities in China have reached a common agreement to adopt the Industry-Education Integration strategy. Therefore, it is of great importance to study strategies for optimizing the curriculum for majors related to big data through the Industry-Education Integration approach. In this paper, we focus on exploring and analyzing strategies aimed at optimizing the curriculum of the Data Science and Big Data Technology through the implementation of the Industry-Education Integration approach. Our objective is to enhance college students' professional competencies. Through our research, we propose a series of strategies to enhance and refine the curriculum of the Data Science and Big Data Technology. These strategies are designed to align educational outcomes with industry requirements, thereby fostering the development of critical competencies in data science and big data analytics among college students. An empirical study is conducted based on the quantitative analysis of teaching data for Data Science and Big Data Technology, the results obtained indicate that our suggested strategies are valid.

KEYWORDS

Data Science, Big Data Technology, Curriculum Optimization, Professional Competencies, Industry-Education Integration

CITE THIS PAPER

Chengqiang Wang, Xiangqing Zhao, Hongyao Jiang, Li Hao, Curriculum Optimization for the Big Data Major through Industry-Education Integration Oriented toward Enhancing College Students' Professional Competencies. Curriculum and Teaching Methodology (2024) Vol. 7: 200-207. DOI: http://dx.doi.org/10.23977/curtm.2024.070830.

REFERENCES

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[2] Wang C Q, Wu Q X, Zhao X Q, Lv Z W. Enhancement of innovation competence of college students majoring in Mathematics Education through curriculum optimization[J]. Journal of Contemporary Educational Research, 2024, 8(10), 83-89.
[3] Zhang J, Yang L, Luo T, Huang S, Xia W. Research on curriculum construction in the background of new engineering disciplines --- exploring interdisciplinary training through the foundation course of Data Analysis Technology[J]. Curriculum and Teaching Methodology, 2024, 7(2), 35-40. 
[4] Dong Z F, Xu J, Wang Y. Construction of curriculum system of Data Science and Big Data Technology under the background of new engineering[J]. Advances in Higher Education, 2023, 7 (26), 251-253.  
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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education