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Construction of consistency judgment system of diploma policy and curriculum policy using character‐level CNN
Author(s) -
Miyazaki Kazuteru,
Ida Masaaki
Publication year - 2019
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.12223
Subject(s) - consistency (knowledge bases) , curriculum , computer science , quality (philosophy) , quality assurance , character (mathematics) , institution , order (exchange) , convolutional neural network , engineering management , knowledge management , artificial intelligence , political science , business , pedagogy , psychology , engineering , mathematics , marketing , philosophy , geometry , epistemology , law , service (business) , finance
Higher education institutions or universities secure the quality of their education in order to build the confidence of stakeholders. In the mechanism of quality assurance, it is necessary to handle an enormous amount of text data related to their education activities. National Institution for Academic Degrees and Quality Enhancement of Higher Education conducts a research for quality assurance to analyze the text data of their admission, curriculum, and diploma policies. An effective support system for text information processing by using information technology is desired. In this paper, we will consider the mechanism of preliminary system using character‐level convolutional neural networks to judge the consistency between diploma policy and curriculum policy.