本文選題：大數(shù)據(jù) + 大數(shù)據(jù)分析�。� 參考：《天津科技》2017年04期

【摘要】：大數(shù)據(jù)基于大體量的數(shù)據(jù)進(jìn)行分析,可以從最微小的層面了解事物的現(xiàn)象和本質(zhì)。通過其3大核心應(yīng)用:概率預(yù)測、個性化和反饋,實現(xiàn)對學(xué)生學(xué)習(xí)軌跡的記錄和分析,關(guān)注每個學(xué)生的真實學(xué)習(xí)狀況,彌補傳統(tǒng)教育中存在的一些問題和不足。教育大數(shù)據(jù)雖然有很多,但并未得到充分的挖掘和使用,分析其原因,一方面人們還不習(xí)慣用大數(shù)據(jù)思維思考和解決問題,另一方面由于教育的特殊性,大數(shù)據(jù)在教育領(lǐng)域的應(yīng)用和發(fā)展需要面對更多的來源于社會、道德、倫理、技術(shù)等復(fù)雜問題。
[Abstract]:Big data is based on large-volume data to understand the phenomenon and nature of things at the smallest level. Through its three core applications: probability prediction, individuation and feedback, we can record and analyze the students' learning track, pay attention to the real learning situation of each student, and make up for some problems and deficiencies in traditional education. Although there are a lot of educational big data, it has not been fully excavated and used. On the one hand, people are not used to thinking and solving problems with big data, on the other hand, because of the particularity of education, The application and development of big data in the field of education need to face more complicated problems, such as society, morality, ethics, technology and so on.
【作者單位】： 天津師范大學(xué)教育科學(xué)學(xué)院;天津市青少年科技中心;
【分類號】：G40-057
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本文編號：1885680