Abstract
How to carry out formative education and develop good habits is the basis for developing a good personality, so that college students can adapt to the current social needs and become useful talents for society. Forming a systematic set of good habits and applying them in practice is an important way to shape the perfect personality of college students. This article uses literature research methods, comparative analysis methods, theory integration with practice, multi-disciplinary comprehensive research methods and other methods, using big data as the entry point, to define the concept, theoretical exploration and countermeasures of college students’ development education. First, the research summarized the concept and communication characteristics of big data, discussed the nurturing education of college students in the big data environment, and analyzed the relationship between big data and nurturing sex education of college students. Secondly, it sorts out the status quo of college students’ developmental sex education in the big data environment and a series of problems currently facing, and conducts a series of analysis from the three aspects of students, universities and big data environment. Third, in response to the shortcomings in the development of college students’ developmental education, corresponding countermeasures are put forward in the three aspects of the reasons for the shortcomings, and it is clearly pointed out that the construction of the main body of college students is improved, and the construction of the developmental education system under the big data environment of colleges and universities. It is an effective way to promote the development of sex education for college students in the context of big data such as the construction of big data.
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Xu, L. (2021). Using Big Data to Enhance the Targeted Research of College Students’ Developmental Education. 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 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_84
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DOI: https://doi.org/10.1007/978-3-030-69999-4_84
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