Development of adaptive Kanji learning system for mobile phone

Mengmeng Li, Hiroaki Ogata, Bin Hou, Satoshi Hashimoto, Yuqin Liu, Noriko Uosaki, Yoneo Yano

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


This paper describes an adaptive learning system based on mobile phone email to support the study of Japanese Kanji. In this study, the main emphasis is on using the adaptive learning to resolve one common problem of the mobile-based email or SMS language learning systems. To achieve this goal, the authors main efforts focus on three aspects: sending the contents to a learner following his or her interests, adjusting the difficulty level of the tests to suit the learner's proficiency level, and adapting the system to his or her learning style. Additionally, this system has already been evaluated by the learners and the results show that most of them benefited from the system and would like to continue using it.

Original languageEnglish
Pages (from-to)29-41
Number of pages13
JournalInternational Journal of Distance Education Technologies
Issue number4
Publication statusPublished - Oct 2010
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications
  • Computer Networks and Communications


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