The Log Analysis Environment to Supoort Classroom Using CoursewareHub

CoursewareHub, which is developed to use Jupyter Notebook in lectures and exercises, can acquire learning logs related to students’ cell execution, and is being used to improve classes and support classes based on the results of the log analysis. The authors have proposed a cloud-based log analysis environment using Elasticsearch, Fluentd and Kibana, and have extended the scope of application to network devices and LMS. In this paper, we aim to provide an environment for log analysis that enables correlation analysis of multiple logs by further expanding the scope of application of this environment. As an example, we applied CoursewareHub logs to this environment and constructed a dashboard that enables teachers conducting classes to grasp the status of students by analysing CoursewareHub logs in real time.