Big data is a double-edged sword, the key to see how to use

Under the influence of big data, the traditional art education model, connotation and positioning has been greatly impacted. What kind of a new development space will there be for art education, and what will become of art education in the future, this is the concern of many educators.

Weitian Yu said, "The current impact can be seen in some superficial phenomena, such as our network to the network, to what extent can replace the classroom face-to-face; today's online free choice of teachers, to what extent can replace the classroom in our tailored to the needs of the classroom; online virtual showroom, to what extent can replace the art gallery of the scene of aesthetics. You go to the virtual exhibition hall to feel, you can break through the limitations of time and space, you can feel the master's works, but the master's aura, elegance and on-site feelings may not be there, there are some contradictions."

From the current point of view, big data in China's art education is not yet widely used in practice. Yin Shaochun, director of the Children's Art Committee of the China Art Association and a professor at Capital Normal University, cited an example, saying, "The initial use of big data is in business, for example, in some countries in the West, statistics through the sea show that many men go to buy diapers, by the way, they will buy beer. So in the commercial operation, shopping malls will put the beer and diaper counter together. But the biggest problem in the era of big data is that it does not talk about causality, for example, why would you buy beer and diapers at the same time, big data itself does not provide the reason, it is a sociological question to ask why. So how do we apply big data to art education? This is a relatively new topic."

Big data is to have a huge amount of data, but the amount of this data we are not so big now. Yin Shaochun believes that the future application of big data is mainly in the prediction, and a kind of trend judgment. This trend is twofold, one is that everyone does it, I can do it too; the other is to avoid it, you do it, I will not do it. We can predict the direction of teaching and learning from big data, including what students are focusing on, what teachers are focusing on, or showing teacher deficiencies and suggesting what teachers need. Of course, this kind of prediction also brings certain problems, for example, it can go to cater to a certain trend, instead of hindering the development of creativity. So big data is a double-edged sword, the key is how to use it."

While we've all seen the double-edged sword-like positive and negative impacts of big data, those negative impacts pale in comparison to the "one day online, one thousand years offline" changes that big data has caused. We have to explore the many possibilities that big data gives us," said Wei Tianyu. But in retrospect, our traditional art education should not be dismissed. Traditional art education has characteristics left over from the industrial era, it has a unified moment, a unified school year, a unified test score, a unified teaching content and teaching requirements, at least it will exist for a long time, because it is inextricably linked with society. China's art education is still very weak today. Our society as a whole is weak and flawed in its cultivation of the aesthetic personality. China has thousands of years of cultural tradition, but it has a problem of how to connect with contemporary culture. I think these things still need us to **** with the promotion. From now on, what we can do is to integrate slowly, not overnight. Nowadays, big data brings new ways of dissemination, new ways of cognition, and new ways of communication. I think the living space of fine art and its aesthetic way has been changed, but it is hard to predict what will happen in the future, we still need to work together."

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