An online integrated programming platform to acquire students' behavior data for immediate feedback teaching

Abstract

Programming-related courses prefer to put importance on practice rather than theoretical knowledge. However, the students' programming behavior data is difficult to be recorded and fed back to teachers anytime, allowing teachers to adjust their teaching in real-time. Aiming at this problem, this study develops an online integrated programming platform that provides a unified programming environment for teachers and students and logs students' procedural programming behavior data automatically to assist teachers in providing real-time feedback teaching. To verify the effectiveness of the data-driven immediate feedback teaching method, an exploratory case was conducted in the 2020/2021 academic year autumn semester. As the control group, cloud201 adopted the traditional hybrid online/offline mode, while cloud202, as the experimental group, adopted the hybrid online/offline mode and immediate feedback teaching