Zufeng Wu
ABSTRACT
In the era of big data, the use of big data analysis technology in the educational field can change traditional and backward educational concepts and ways of thinking. Universities have more real and valuable data information in the process of development, which can provide powerful data support for educational development. At present, talent training in colleges and universities mainly aims at cultivating all-round development talents with strong professional abilities and high comprehensive quality. Therefore, higher education academic advising for the all-round development of college students is particularly important. This paper scientifically explains the meaning and current situation of higher education academic advising, and uses data analysis technology to process the educational data of a certain class of students in the School of Information and Software Engineering, University of Electronic Science and Technology of China, and designs a set of academic advising models that can be promoted in science and engineering colleges, including dynamic evaluation sub-models of professional ability, English ability, comprehensive quality, ideological quality, and physical and mental quality. Through the implementation of the models, Explore and practice the problem of higher education academic advising based on the organic combination of big data technology and education professional direction.
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