Research On The Moral Learning Of College Students In The Big Data Environment

Human’s moral qualities are not all born with, it is related to the individual character,moral principles,moral norms,and moral ethical. Human’s moral accomplishment is formed by the interaction of internal and external.Moral learning is gradually transformed from the traditional moral education model in the big data, moral cognition, behavior, and so on have changed.Big data to bring a revolutionary change in education, such as the reform of student learning, change the teaching model of teachers. In order to adapt to the big data, the education management pattern and the education system reform and the innovation, the university moral education starts to the digital development, relevant researches are:How to reform the traditional mode of moral learning in Colleges and universities?How to guide and strengthen the moral learning of college students?How to solve the problem of the current university students in the course of moral learning ?So,this article mainly based on the theory of moral learning,one is analysis the four elements of college students’ moral learning in the environment of big data, second is the analysis of the advantages and disadvantages in the big data environment.Three is putting forward the relevant solutions according to the disadvantages of college students’ moral learning.The study is expected to reach three goals:One is to perfect and innovate the moral learning theory in the big data environment.Two is to try to solve the the moral learning problems in the data environment.Three is to promote the further optimization and development of moral education, and to enhance the moral quality of college students in the big data environment.