Abstract
With the influence of big data (BD) on the field of education (EDU), the scale of EDUal BD is becoming larger and larger. The explicit data of traditional EDU is not enough to meet the present EDUal situation. All kinds of static data are mined and invisible data appear. At the same time, Internet EDU has produced massive data, and the field of EDU has formally stepped into the era of BD, and the development prospect of EDU integrated with information technology is broad. The characteristics of the data analysis of college EDU evaluation are that it can comprehensively and systematically combine, process and analyze the information data of students and teachers, and then make a scientific and reasonable value judgment on the development potential and progress of students on this basis. The function is to promote students’ self-growth in an all-round way. Through the analysis results of BD, we can accurately understand the development space and changes of students. Teachers can find the disadvantages of data processing in time and deal with them in time, which has good pertinence for teaching. This paper mainly uses the literature research method, the questionnaire survey and the interview type survey and so on, has carried on the study to the literature, elaborated the BD EDU, the EDU appraisal and so on basic concept in detail; the questionnaire survey object is a certain university 120 teachers and students, altogether distributed 120 questionnaires, the questionnaire altogether distributed 120 questionnaires, recovered 110 questionnaires, the recovery rate is as high as 91.1 Using the form of interviews to judge the use value of EDUal evaluation data, the results show that in the BD environment, educators’ demand for EDUal evaluation data analysis is gradually rising. At the same time, the advantages and disadvantages of EDUal evaluation are found. In the information age, higher EDU has undergone unprecedented changes. In the future, we look forward to the innovative influence of BD in the process of higher EDU development, and promote the development of higher EDU to individualized, popularized and shared higher EDU.
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Liu, N., Ruan, Y. (2022). Teaching Design Optimization and Application Research of College Students’ Education Evaluation Data Analysis Based on Big Data. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2021. Lecture Notes in Electrical Engineering, vol 827. Springer, Singapore. https://doi.org/10.1007/978-981-16-8052-6_72
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DOI: https://doi.org/10.1007/978-981-16-8052-6_72
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