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“Big data” as a form of transformation and innovation in the era, like other technological forms, is bound to become a new type of social productivity and production relations inspired by new industrial thinking (Makrani et al., 2020). As the name suggests, “big data”, as a storage form of data processing capability, is first and foremost a concept of resource concentration (Bamakan et al., 2021). This static category of the same attribute enters the practical field of social production and will inevitably bring about innovations in production methods (Sharma & Colonna, 2021). This kind of innovation has brought about a qualitative change in people's working thinking (Giampa & Dibitonto, 2020).
First of all, the massive amount of data has led to the reduction of information accuracy, and the change in the status and behavior of the relationship between things (Belov et al., 2021). The traditional accurate results are replaced by data that can be arranged (Nurnawati et al., 2020). That is to say, the information and data are different (Pratsri & Nilsook, 2020). The permutation and combination of categories can form different possible behaviors, which are enough to be examples of how we can change the phenomenon of things (Manan et al., 2022). Therefore, it is said that “big data”, as an innovative productive force across the era, creates a premise of possibility, including all relevant and irrelevant information texts, and finally forms a new kind of material change through correlation docking and transformation (Wan Yan, 2020).
Therefore, in order to establish the “big data” thinking, the first thing to do is to establish a database concept, that is, the centralized behavior of human beings on the way of organizing information about things (Luo et al.,2016). This kind of relational thinking form, through the establishment of a fruitless information group, finally forms a value acquisition that constitutes relevance in the context of large-capacity, different structures and types of information, and concentrates this information (Gong, 2021). The media method “big data” summarizes four basic genes to illustrate the correlation between the productivity and production relations behind the concentration of data information and the social practice of dance continuing education and teaching thinking under the “big data” thinking (Singer et al., 2021).
Under the background of big data, students' autonomous learning ability and the development of innovative thinking have gradually received attention. However, in the traditional dance teaching mode in colleges and universities, teachers' educational activities are too single, students' main role in classroom learning is not fully demonstrated, students' learning thinking is also limited, and innovation ability cannot be effectively cultivated (Wen et al., 2018). It limits the dance ability of students and has a certain restraint effect on students' learning and development (Massalou et al., 2022).