Abstract
In the context of big data, adding data analysis and processing to the teaching system of IT-supported courses of economics and management majors is of great significance to improving the comprehensive quality of students. This article aims to study the teaching system of IT supporting courses based on big data technology. This article adopts the method of experimental investigation to randomly survey the students’ performance of economics and management majors in a certain college that offers big data technology and application majors, and conducts research on this. Experimental data shows that from the perspective of student feedback and test results, students’ interest in learning and learning effects have been greatly improved. The results of the experiment show that the student’s score in the IT-supported course teaching system for economics and management based on big data is 89.89 ± 5.45, which is higher than the traditional learning score of 79.51 ± 5.99. Both in basic knowledge mastery and practical teaching are better than the control group. In the process of exploring the construction of IT supporting teaching system for economics and management majors in the era of big data, there is still a lot of work to be done. In the next teaching and research, we will study the teaching mode and assessment mode of IT supporting courses for economics and management majors under the background of big data. Design, etc. to be discussed.
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Wang, Y., Zhang, Y. (2021). The Teaching System of IT Support Course Group of Economics and Management Majors Based on Big Data Technology. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_73
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DOI: https://doi.org/10.1007/978-3-030-70042-3_73
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