Abstract

As learning management systems (LMSs) become increasingly popular in many universities, large scale Moodle systems, such as cross-university LMSs, have been implemented, and they accumlate a large amount of LMS log data. To handle such a large amount of data, it is effective to use a cloud computing environment. However, because LMS log data contain much personal information, it is often necessary to anonymise or pseudonymise the data to use them in cloud computing environment. In this study, we implemented a log analysis environment that combines an organisation’s internal server and a cloud computing environment by using the GakuNin-Cloud on-demand configuration service provided by the National Institute of Informatics (NII). In this environment, LMS logs are stored in the cloud with pseudonymisation, and the pseudonymisation is automatically removed by a re-identification proxy when the logs need to be analysed. We applied the environment to the Moodle system at Gunma University. We also applied the environment to an example Moodle created by the GakuNin Cloud on-demand configuration service.

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