学位に付記する専攻分野の名称とディプロマ・ポリシーの整合性に関する研究

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2022/02/01

タイトル(英語): Research on the Consistency of Diploma Policies and the Nomenclature of Major Fields of Academic Degrees

著者名: 宮崎　和光（独立行政法人 大学改革支援・学位授与機構 研究開発部），吉田　望（琉球大学），森　利枝（独立行政法人 大学改革支援・学位授与機構 研究開発部）

著者名(英語): Kazuteru Miyazaki (Research Department, National Institution for Academic Degrees and Quality Enhancement of Higher Education), Nozomi Yoshida (University of the Ryukyus), Rie Mori (Research Department, National Institution for Academic Degrees and Quality Enhancement of Higher Education)

キーワード: ディプロマ・ポリシー，学位に付記する専攻分野の名称，深層学習　　diploma policy，nomenclatures of academic degrees，deep learning

要約(英語): In 2017, it became mandatory for universities in Japan to disclose their policies in degree granting (Diploma Policy: DP, hereafter) that state standards to confer degrees. Meanwhile, since 1991, nomenclature of major fields that appear in diplomas has been the responsibility of individual universities, instead of the national regulation. This study examines whether the former reasonably evokes the latter, given that both of them are deemed to represent the learning outcomes that the graduate has obtained. In order to do so, we compared the ability of humans and that of a deep-learning system (which is based on the Character-level CNN), to match DPs and major fields that are randomly given. In the examination of human ability, which was implemented with a large enough number of participants to obtain statistically significant results, we found there were a certain number of DPs that the majority of people failed to match with major fields. Given this fact, we analyzed such DPs to demonstrate that the deep learning system shows a high success rate in sorting out the DPs that poorly evoke major fields.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.142 No.2 （2022） 特集：確率的最適化手法・機械学習技術を用いたシステム知能化の最新動向

本誌掲載ページ: 117-128 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/142/2/142_117/_article/-char/ja/