Research on Algorithm of MOOC Automatic Rolling System Based on Big Data Analysis

At present, the credibility of the MOOC certificate is facing serious questions. Unscientific testing is one of the main reasons. This article analyzes the characteristics of MOOC test results data. Based on the distribution it obeys, an algorithm for automatically generating test papers is constructed. According to the probability of normal distribution, determine the number of questions, and a standardized test template was designed. Using the knowledge point parameters, the knowledge coverage of the test paper can be guaranteed. This algorithm can improve the reliability of MOOC testing. It can increase the social acceptance of MOOC certificates, promote the development of MOOC. Keywords—MOOC; rolling system; Gaussian distribution; standard template