A prototype for human-like e-Learning system

Kenji Yoshida*, Yuji Shinoda, Koji Miyazaki, Kayoko Nakagami, Hirotaka Nakayama

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


There are two types of e-Learning systems, namely, a synchronous type system and an asynchronous type system. Interactive communications with a teacher are important for education. However, an asynchronous, lecture type e-Learning system has some difficulty for keeping students' motivation and encouraging active learning. In this paper, we introduce a human-like e-Learning system based on machine learning techniques. This system has 3 kinds of subsystem. The fist is the detection of students' situation by patterning. The second is the automatic question answering. The third is to generate facial expressions of animations synchronized with pre-recorded audio data. Our human-like e-Learning system provides experimental contents for active learning and communicative functions such as chat. As a result, students can learn with a pleasant feeling.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings
PublisherSpringer Verlag
Number of pages8
EditionPART 3
ISBN (Print)3540855661, 9783540855668
Publication statusPublished - 2008
Externally publishedYes
Event12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, Croatia
Duration: 2008 Sept 32008 Sept 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume5179 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008


  • Automatic answering system
  • Edutainment
  • Human-like system
  • e-Learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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