Toward predicting learners' efficiency for adaptive e-learning3月 1, 2020·Yuta Nakashima,Hirokazu Kobori,Ryota Takaoka,Noriko Takemura,Tsukasa Kimura,Hajime Nagahara,Masayuki Numao,Kazumitsu Shinohara· 0 分で読める 引用タイプ学会論文収録Proc. International Learning Analytics and Knowledge Conference (LAK)最終更新 3月 1, 2020 ← IterNet: Retinal image segmentation utilizing structural redundancy in vessel networks 3月 1, 2020Video analytics in blended learning: Insights from learner-video interaction patterns 3月 1, 2020 →