Construction of Foreign Language Curriculum Resources Under the Background of Big Data With the advent of the Information Age, the informatization, digitization and networking of teaching resources for higher education have become an inevitable trend. Under the background of big data, this paper firstly analyzes the opportunities brought by the big data era for the construction of foreign language curriculum resources on the basis of defining the important concepts of xe2x80x9cbig dataxe2x80x9d and xe2x80x9ccurriculum resourcesxe2x80x9d, and then probes into a new idea on curriculum resource construction that setting up an integrated curriculum resource platform by multiparty cooperation. In order to solve the problems existing in the current curriculum resource construction, supporting measures like system construction, financial and technical support and teacher training programs should be taken to guarantee the effective construction of foreign language curriculum resources. This research is expected to offer some insights for the language educators so as to achieve the purpose of keeping pace with the Information Age and improving the quality of foreign language education.

Integration of Information Technology and Teaching in Vocational Colleges Based on Computer Big Data System In this paper, the idea of combining theory with practice is adopted. Firstly, the characteristics and current situation of teaching mode reform in Higher Vocational Colleges in the information age are comprehensively analyzed through investigation. Through the analysis of the current situation of the deep integration of information technology and classroom teaching, this paper analyses the factors that affect the effect of the promotion, puts forward solutions and makes feasibility analysis. With the help of large data technology, the corresponding abstract model is constructed. Then, based on the data, the optimal management information model of university education and teaching is analyzed, which theoretically proves the rationality of the big data technology and sample data reconstruction method presented in this paper. The experimental results show that compared with typical DSmeans, the information development strategy proposed in this paper can not only greatly reduce the communication cost between network nodes, but also improve the information efficiency of the global teaching management on average about 10%.