On the Transformation of the Management of Normal University Students on the Basis of Big Data Theory

The merits of this transformed management of normal university students on the basis of the big data theory lie in 1) the promotion of data awareness of the managerial personnel, 2) the reform of research paradigm, and 3) the improvement of service modes of management work. This can be realized via advancing from samplebased to holisticthinking, switching from precise to mixed thinking,extending from causal to integrated thinking, and transferring from static to dynamic thinking. 1.Introduction As an integral component of higher education in China, teacher education is the “mother tool” because the management of these teacher students is not only connected to their career development but also to the quality of education for the whole country in the future, which, therefore, plays a vital role in the strategic realization for China to change from a country with huge population to one with powerful human resources. In such a circumstance, it is of great significance for the management to overcome their inefficiency in problem solving by integrating their work with the big data theory. 2.The essence of the management transformation in the scenario of big data 2.1Management based on the big data Under the controversial discussions about this theory going on among all walksof life who have been expressing enormous enthusiasm for the new resources, the academic world has not achieved any agreement yet about the definition. The world-famous McCarthy Research Center defines big data as “ a data set that cannot be obtained, managed or analyzed with the traditional software within a certain period of time.”(Li & Gong, 2015). Cheng 3rd International Conference on Education, Culture and Social Development (ICECSD 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Social Science, Education and Humanities Research, volume 344