電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<ソフトコンピューティング・学習>
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
宮崎 和光吉田 望森 利枝
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ジャーナル 認証あり

2022 年 142 巻 2 号 p. 117-128

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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.

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