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Artificial Curation for Creating Learners Manual based on Data Semantics and User Personality

  • Miki Ueno
  • Masataka Morishita
  • Hitoshi Isahara
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 620)

Abstract

Curation services contribute to create manual web pages for learners and teachers especially for e-Learning. However, it is difficult to determine the quality of web pages for certain learning purpose. In this paper, we propose the novel method of generating learners’ manuals automatically based on semantic information of web pages and users personality. As an example, we implemented the application based on the proposed method and it was applied to the process of learning Git, which is one of popular version control systems. From our experiments, we discuss the relation between semantic of web pages and user personalities.

Keywords

Artificial curation Learners manuals User activity Git e-Learning Pattern recognition 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Miki Ueno
    • 1
  • Masataka Morishita
    • 1
  • Hitoshi Isahara
    • 1
  1. 1.Toyohashi University of TechnologyToyohashiJapan

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