PTA Scoring Analysis Based on Statistical Method in a MOOC

More and more computer courses change the teaching model. In order to improve the efficiency of learning data structure, a teaching method based on MOOC and Programming Teaching Assistant (PTA) is proposed. In order to investigate PTA effect on the learning scores of the students, we use statistical methods to analyze a total of 188 students from 4 classes about PTA scores and examination test scores. The results reveal that 87.7% students which pass PAT, pass examination test, which prove that the PAT could be helpful for the students to master the knowledge points. In order to investigate the performance of the exercises set of each chapter in PTA, we analyze 188 students' PTA scores of each chapter, and find that the results of four chapters are not ideal and other four chapters are very reasonable. In the next term, we will modify the exercises sets in order to facilitate the students' learning.