Data Driven Analysis on the Effect of Online Judge System

• Published in: 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) pp. 573 - 577
• Main Authors: Xudong Lu, Dongyu Zheng, Lei Liu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-06-2017
• Subjects: Correlation coefficient; data driven analysis; Education; online judge system; program design; Programming profession; Software engineering
• DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.90

Programming, which is a professional basic course of computer science major and software engineering major, has the characteristics of difficult entry and high practical requirements. In view of the problems in the teaching of curriculum experiment, we adopt the online evaluation method to carry on the teaching reform. This paper describes the specific methods and processes of online evaluation in the "program design" experiment teaching, makes an in-depth analysis of the data generated by the online judge system and the student test scores, and then takes a questionnaire survey on the teaching effect. Data driven analysis and survey results show that online judge system can effectively improve students' programming abilities, and also play a positive role in promoting students' enthusiasm and knowledge. Finally, this paper summarizes the existing problems of the online judge system in the experimental teaching process of programming course and gives the countermeasures.