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In order to meet the demand of high quality scarcity learning resource and promote the learning autonomy and learning method innovation, it needs to analyze learning process data. Based on the relevance data mining methods, this paper designs the data mining system of learning measuring model, and this system can analyze large data in the learning process. Through data learning test for MOOCs large data, the variation curve of correlation accuracy rate is obtained, realizing the optimal allocation of learning methods and learning objectives, which provides a theoretical basis for the research on large-scale MOOCs online course. Introduction Massive Open Online Course (MOOCs) is a new emerging online learning method based on modern learning method, the internet and the mobile communication technology. According to the new definition of Gartner Company in 2012, large data has the following three characteristics: large quantity, fast, variety [1-3]. The large data generated by the MOOCs can carry out effective analysis of learning strategy model. This paper uses the relevance data mining model to do correlated analysis on data generated by MOOCs, which makes learning resources getting optimized configuration and provides a theoretical basis for the research on MOOCs. Overview of Large Data Learning Strategy Model Traditional learning measurement is the measurement of learning results, and the most representative is standardized test. But only the examination results can’t understand the performance in the learning process, such as the learning speed, comprehend ability, interaction and cooperation with other learners etc. [4-6]. The tracking data of network course can better understand the learning behavior characteristics of learners, according to the measurement characteristic of large data, and it can evaluate the learning behaviors and results. International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2015) © 2015. The authors Published by Atlantis Press 808

Correlation Analysis of Audio and Video Based on Large Data Mining Process of Massive Open Online Course