アンドウ　キミヒコ   安藤　公彦    所属   先進教育支援センター 教員    職種   専任講師
言語種別	英語
発行・発表の年月	2018/03
形態種別	国際会議論文
査読	査読あり
標題	Using Deep Learning Methods to Automate Collaborative Learning Process Coding Based on Multi-Dimensional Coding Scheme
執筆形態	共著
掲載誌名	eLmL 2018
掲載区分	国外
出版社・発行元	IARIA
巻・号・頁	pp.45-53
著者・共著者	Takahiro Kanayama, Kimihiko Ando, Chihiro Shibata, Taketoshi Inaba
概要	Computer-supported collaborative learning research, it may be a significantly important task to figure out guidelines for carrying out an appropriate scaffolding by extracting indicators for distinguishing groups with poor progress in collaborative process upon analyzing the mechanism of interactive activation. And for this collaborative process analysis, coding and statistical analysis are often adopted as a method. But as far as our project is concerned, we are trying to automate this huge laborious coding work with deep learning technology. In our previous research, supervised data was prepared for deep learning based on a coding scheme consisting of 16 labels according to speech acts. In this paper, with a multidimensional coding scheme with five dimensions newly designed aiming at analyzing collaborative learning process more comprehensively and multilaterally, an automatic coding is performed by deep learning methods and its accuracy is verified.