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2017 Fiscal Year Final Research Report

Tailormade Japanese language education and advancing learning mining based on a large conversation corpus

Research Project

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Project/Area Number 26240051
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section一般
Research Field Learning support system
Research InstitutionTokyo University of Foreign Studies

Principal Investigator

SHIBANO Kohji  東京外国語大学, アジア・アフリカ言語文化研究所, 教授 (50216024)

Co-Investigator(Kenkyū-buntansha) 藤村 知子  東京外国語大学, 大学院国際日本学研究院, 教授 (20229040)
大津 友美  東京外国語大学, 大学院国際日本学研究院, 准教授 (20437073)
佐野 洋  東京外国語大学, 大学院総合国際学研究院, 教授 (30282776)
藤森 弘子  東京外国語大学, 大学院国際日本学研究院, 教授 (50282778)
望月 源  東京外国語大学, 大学院総合国際学研究院, 准教授 (70313707)
鈴木 美加  東京外国語大学, 大学院国際日本学研究院, 教授 (90226556)
中村 美奈子  お茶の水女子大学, 基幹研究院, 准教授 (20345408)
Project Period (FY) 2014-04-01 – 2018-03-31
Keywordseラーニング / 日本語教育 / コーパス言語学
Outline of Final Research Achievements

In order to modernize the original proprietary Japanese e-Learning system called JPLANG, we first change to the the smartphones/tablets environment. In order to support Learning Analytics we added Google Analytics support in addition to custom log analysis. In order to rationalize the system environment, Docker and GiT support were added. These results were published at AACE and EuroCall, and AAAL conferences.
Regarding the closed caption corpus, it continued to operate smoothly, reaching the scale of 1 billion words. Regarding the research results, we presented peer-reviewed papers mainly on international academic societies such as AAAL and AiLA.

Free Research Field

情報工学

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Published: 2019-03-29  

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