Rchr
J-GLOBAL ID:201801021297022240   Update date: Jul. 16, 2024

Kobayashi Nobuyuki

Kobayashi Nobuyuki
Research field  (1): Database science
Research theme for competitive and other funds  (3):
  • 2013 - 2016 Japanese learning system development in conjunction with the linguistic background and lecture of learners
  • 2010 - 2012 Instructional Design, Introduction and Evaluation of E-Learning andCollaborative Learning into Medical-Related English Classes
  • 2005 - 2007 Development, Introduction and Evaluation of E-Learning System for Medical English
Papers (41):
  • Nobuyuki Kobayashi, Hiromitsu Shiina, Takafumi Ohtani. Comment Evaluation using Mutual Method, LSTM, Bootstrap and Co-occurrence word in Lecture Questionnaire. International Conference on Ubiquitous Information Management and Communication 2020 (IMCOM 2020). 2020. 1-1. 1-6
  • Akiyoshi Takahashi, Hiromitsu Shiina, Ryunosuke Ito, Nobyuki Kobayashi. Procedure Generation for Algorithm Learning System using Comment Synthesis and LSTM. International Journal of Service and Knowledge Management(IJSKM). 2019. 3. 2. 48-61
  • Akiyoshi Takahashi, Hiromitsu Shiina, Nobuyuki Kobayashi. Automatic Generation of Program Comments Based on Problem Statements for Computational Thinking. Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019. 2019. 629-634
  • Akiyoshi Takahashi, Hiromitsu Shiina, Nobuyuki Kobayashi. Comment Generation by LSTM for Procedure Learning System. 26th INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE2018) Work-in-Progress Poster Proceedings. 2018. 27-30
  • N. Kobayashi, H. Shiina, T. Otani. Comment Evaluation by Combining Comment and Word Mutual Evaluation Method and LSTM Evaluation Method in Lecture Questionnaire. 2018. 93-98
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MISC (17):
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