The Study Of The Path Of Teaching Transformation On Academic Resources Of Humanities And Social Sciences In The Era Of Big Data

Network polymerization and application of academic resources has entered the era of big data and it presents the characteristics of academic resources the huge amount and fast and various. The explosive growths of humanities and social science literature database and the development of data mining ought to be create conditions of comprehensive, in-depth, personalized learning and academic training for graduate students. But the phenomenon of "two pieces of skin" of theory and practice is still and information redundancy and digestive hard have become the new problems from the reality level. How to highlight the value of the big data to academic resources, especially the effective service in the process of the graduate student academic research ability, which has become an important topic.The study carries out the survey and the interview with objects of graduate students in humanities and social science of six universities that to the goals, preferences and actual effect of the using of academic resources of graduate students in humanities and social science as the breakthrough point. The study found that there are two kinds of typical path in the teaching transform of academic resources in humanities and social science, which are theory learning and field trips. In the big data era, there are two main problems under the two kinds of path:one is the "digital scissors" phenomenon that intensified; the other is the impact of the quick query information and the fragmentation of theoretical knowledge.This study focus on four aspects which are the problem of "live" and to make good use of academic resources of big data to realize the personalized service and promoting the academic research in teaching transformation and optimization of teaching resources. From these aspects, the study has carried on the theoretical discussion on the solution of the teaching transformation problem. Finally, this study proposed the improvement path of teaching transformation of academic resources in humanities and social science from the practical level under the era of big data.The new teaching transformation path relies on the teachers interact with the graduate student’s cooperation to realize the teaching transformation of academic resources. The work of teachers’team focus on two aspects which are the main literature recommendation and research methods. The graduate student’s work focus on three aspects which are main literature internalization and research questions focus and first-hand research data collection. Specifically,first, the graduate students have the awareness of problem by means of learning the evolution scenario, and reading main literature according to the recommendation of the teacher. This process change the academic resources into the question which is vague. Secondly, the graduate students will survey in society according to the idea which is made in reading main literature. This process change the question which is vague into the question which is live. Third, the graduate students output their research according to studying literature and doing the fieldwork,and make them become the evolution scenario which is about specific topic. This process change the question which is live into the evolution scenario which is about specific topic. Finally, according to the principle of frontier, independence and innovation, the case teaching focusing on the problem of "live" put a selected topic evolution case into class and form the case teaching resources.Under the new teaching transformation path, graduate students will practice under the full support of theory and internalize the theory effectively and form germinal new theory. Not only solved the problem of digesting academic resource faced by most graduate students in the era of big data, but also can be beneficial for them in terms of fostering their practical ability.