@techreport{oai:ipsj.ixsq.nii.ac.jp:00210594,
 author = {浜元, 信州 and 横山, 重俊 and 竹房, あつ子 and 合田, 憲人 and Nobukuni, Hamamoto and Shigetoshi, Yokoyama and Atsuko, Takefusa and Kento, Aida},
 issue = {23},
 month = {Mar},
 note = {LMS が大学に普及し,全学統一の Moodle や大学をまたいだ LMS なども実現し,LMS ログデータは膨大なものとなりつつある.このような大量のデータを扱う上では,クラウドの利用が有効だが,LMS ログは個人情報に関わるデータが多く,クラウド上で利用するには,匿名化や仮名化などの処理が必要なケースも多い.本論文では,NII の提供する学認クラウドオンデマンド構築サービスを利用し,組織内のサーバとクラウド環境を組み合わせたログ解析環境の実装を行った.この環境では,LMS のログは,クラウド上に仮名化を施した状態で保存し,解析時には,仮名化を解除プロキシを利用し自動解除する.本環境を群馬大学 Moodle に適用した事例を示す., As LMSs become more and more popular in universities, Moodle and cross-university LMSs have been implemented, and LMS log data are becoming huge. In order to handle such a large amount of data, it is effective to use cloud computing. However, since LMS log data contain many personal information, it is often necessary to anonymize or pseudonymize the data in order to use them on cloud computing. In this paper, we implemented a log analysis environment that combines an organization's internal server and a cloud environment by using the GakuNin-cloud on-demand construction service provided by NII. In this environment, LMS logs are stored in the cloud with pseudonymization, and the pseudonymization is automatically removed by using a proxy when analyzing the logs. We will describe a case study of applying this environment to Moodle at Gunma University.},
 title = {クラウドを利用したMoodleのログ解析環境の実装},
 year = {2021}
}