Research on Consistency between Diploma Policies and Nomenclature of Major Disciplines: Deep Learning Approach

被引：0

作者：

Miyazaki, Kazuteru ^{[1
]}

Takahashi, Nozomi ^{[2
]}

Mori, Rie ^{[1
]}

机构：

[1] Natl Inst Acad Degrees & Qual Enhancement Higher, 1-29-1 Gakuennichimachi, Kodaira, Tokyo 1878587, Japan

[2] Univ Ryukyus, 1 Senbaru, Nishihara, Okinawa, Japan

来源：

PROCEEDINGS OF 2019 7TH INTERNATIONAL CONFERENCE ON INFORMATION AND EDUCATION TECHNOLOGY (ICIET 2019) | 2019年

关键词：

Nomenclatures of Academic Degrees; Diploma policy; Deep Learning; Text Classification; Support System; Quality Enhancement of Higher Education;

D O I：

10.1145/3323771.3323786

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In order to showcase a possible real-world example of AI deployment, this paper compares comprehension abilities of humans and machines in a wide range of academic statements based on surveys of 330 people, and machines that have gone through deep learning. This study found that both parties demonstrate similar rates of success but different patterns of comprehension and correlation.

引用

页码：252 / 258

页数：7

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