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Optimizing the Big Data Curriculum by Integrating Artificial Intelligence Courses to Enhance College Students' Professional Literacy

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DOI: 10.23977/aduhe.2025.070208 | Downloads: 13 | Views: 344

Author(s)

Chengqiang Wang 1, Xiangqing Zhao 1, Zhiwei Lv 1, 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 growing significance of big data and related technologies, an increasing number of colleges and universities in China have introduced specialized majors focused on this rapidly advancing field. With valuable experience in educating students in these majors and facing emerging challenges, it has become essential to optimize the curriculum for big data-related programs to ensure students are well-prepared for industry demands. To better prepare students for the job market, Chinese colleges and universities have agreed on the importance of adopting strategies such as integrating Artificial Intelligence courses. It is hence crucial to explore innovative strategies for optimizing the curriculum for big data-related majors through the integration of Artificial Intelligence-focused courses. In this paper, we examine and analyze strategies for enhancing the curriculum of Data Science and Big Data Technology by implementing Artificial Intelligence course integration. Our goal is to improve the professional literacy of college students, enabling them to thrive in a data-driven world. Through our research, we propose a series of curriculum enhancements aimed at aligning educational outcomes with evolving industry needs, fostering essential technical skills in data science and big data analytics among students. An case study, via a comprehensive quantitative analysis of teaching data for Data Science and Big Data Technology, confirms the validity of the proposed strategies.

KEYWORDS

Data Science and Big Data Technology, Big Data Major, Curriculum Optimization, Professional Literacy, Artificial Intelligence

CITE THIS PAPER

Chengqiang Wang, Xiangqing Zhao, Zhiwei Lv, Li Hao, Optimizing the Big Data Curriculum by Integrating Artificial Intelligence Courses to Enhance College Students' Professional Literacy. Adult and Higher Education (2025) Vol. 7: 44-51. DOI: http://dx.doi.org/10.23977/aduhe.2025.070208.

REFERENCES

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[2] Li X D, He X C, Huang X, Zhang K. Practice of curriculum construction based on mobile big data technology integrating ideology and politics into innovation and entrepreneurship education[J]. Transactions on Comparative Education, 2024, 6(2), 44-55.
[3] Chen K W. Discussion on the curriculum system of Data Science and Big Data Technology specialty based on OBE concept[J]. The Educational Review, USA, 2023, 7(4), 505-510.
[4] 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.
[5] 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. 

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