Research And Implementation Of Mobile Intelligent Item Bank Platform Based On BP Neural Network

Education as a global and all human problem has attracted attention of the world experts, scholars and institutions. To improve the efficiency of teaching and learning can be a good way to promote the development of education. On how to improve the range of education and the quality of education have different opinions, but it is generally accepted by means of information to improve the quality of teaching and learning. Item bank system as a good auxiliary way of teaching can do great help of the teaching process, but with the progress of information technology, especially nowadays Internet technology and Mobile Internet technology, the traditional item bank system to meet users' need on using at any time and anywhere for different kinds of terminal has been a large lag together with the lack of enough intelligence.To solve this problem, this paper proposed the mobile intelligent item bank platform, consisting of B/S database system, background management system and mobile database system and using BP neural network to predict the difficulty of examination questions.This paper mainly includes the following four aspects:Firstly, through the analysis and research on using of item bank system both at home and abroad,it is found that the existing question bank system is not accurate in the quantitative analysis of the difficulty of the examination questions with poor efficiency and the efficiency of knowledge point extraction process of liberal arts is very low. For this situation we suggest using BP neural network model for the quantitative analysis of the difficulty of examination questions and using string matching algorithm to optimize the extraction process of knowledge points.Secondly, using adaptive learning efficiency and additional momentum to improve the performance of the BP neural network model for predicting the difficulty of examination questions and AC, Subsection KMP and KMP algorithm is used to speed of liberal arts test knowledge extraction process.Thirdly, on the basis of the above research results, combined with the software engineering method, the paper designs and realizes a mobile intelligent item bank platform, which includes the quick extraction of the knowledge points of the liberal arts and the accurate prediction of the difficulty of the test questions.Finally, the mobile intelligent item bank platform which was studied and realized above has been put into use in one university in Chongqing, the running results show that it can significantly improve the efficiency of the process of extracting the knowledge point of liberal arts and effectively predict the difficulty of the examination questions.