@article{oai:ipsj.ixsq.nii.ac.jp:00213280,
 author = {芳賀, あかり and 富田, 陽介 and 山下, 晃弘 and 松林, 勝志 and Akari, Haga and Yosuke, Tomida and Akihiro, Yamashita and Katsushi, Matsubayashi},
 issue = {3},
 journal = {情報処理学会論文誌教育とコンピュータ（TCE）},
 month = {Oct},
 note = {多くの企業では様々な社内研修が行われているものの，十分な効果検証を行っている企業は少ない．一方でSNSを社内コミュニケーションに活用する企業も増えており，そこに蓄積されたデータを分析すれば，研修の効果検証やキャリア教育に役立てられる可能性がある．本研究では社内SNSを開発する企業との共同研究として，SNSに蓄積されたデータを自然言語処理技術によって分析する．分析結果から個人に合わせた研修の提案や，1人1人の特徴を可視化し，研修の効率化を実現することが研究の大きな目的である．その第1段階として，本研究では研修生の「学習行動状態」を定義し統計的な分析に基づく定量化を提案した．また，実データに基づいて時系列での可視化を行い，学習行動状態が変化する様子について考察した．その結果，研修によって学習行動状態が変化する過程や，個人ごとにその変化の過程が異なることが明らかとなり，今後，社内研修自体の評価や人事評価，キャリアプラン支援などに活用できる可能性を示した．, Most Japanese companies have their own in-house training systems. However, only a few companies have systems to fully verify the training effectiveness. Furthermore, an increasing number of companies are using social media for both internal communications and in-house training discussions. Therefore, by analyzing this accumulated data in social media, it is possible to verify the effects of in-house training and career education. This research is a joint study with a company that develops internal social-media system for in-house training. We analyze the accumulated data in a practical system by using natural language processing. This research aims to visualize both training proposals tailored to each individual and the characteristics of each trainee from the analysis results. It also aims to improve the effectiveness and the efficiency of in-house training systems. In this paper, as the first step, we defined the “state of learning behavior” of trainees and proposed quantification the state. And we visualized in time series based on real data and considered how state of learning behavior changes. As a result, we found that the state of learning behavior changed by training. And the process of change is different for each individual. We showed the possibility of using it for evaluation of in-house training, personnel evaluation and career plan support.},
 pages = {12--23},
 title = {社内研修の評価および人材育成の効率化を目的とした社内SNSの分析},
 volume = {7},
 year = {2021}
}