Platform of Examination Information Resources in Colleges and Universities Based on Big Data Deep Mining Technology At present, the construction of information resources in colleges and universities has been attached great importance to, and the construction of information resources database is developing towards the direction of complex structure, diversified forms and content. Based on this, this work analyzed the new changes of examination information resources in colleges and universities under the background of big data, introduced the key deep mining technologies of examination information resources in colleges and universities in big data era, and designed a platform of examination information resources in colleges and universities based on big data deep mining technology in order to point out new ideas for the construction of information resources database in colleges and universities.

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%.