Vocabulary Learning Environment with Collaborative Filtering for Support of Self-regulated Learning

  • Masanori Yamada
  • Satoshi Kitamura
  • Shiori Miyahara
  • Yuhei Yamauchi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5712)


This study elucidates issues related to using online vocabulary learning environments with collaborative filtering and functions for cognitive and social learning support in learner-centered learning, which requires learners to be self-regulated learners. The developed system provides learners with a vocabulary learning environment using online news as a test installation of functions. The system recommends news to each learner using a collaborative filtering algorithm. The system helps learners to use cognitive and social learning strategies such as underlining, along with a word-meaning display based on the learner’s vocabulary proficiency level. We investigated effects of the system on perceived usefulness and learning performance as a formative evaluation. Learners regarded this system as a useful tool for their language learning overall, but rated several functions low. Confirming the learning performance, the learner’s vocabulary proficiency level improved significantly.


Language learning Educational technology Learning strategies Aptitude treatment interaction Collaborative filtering 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Masanori Yamada
    • 1
  • Satoshi Kitamura
    • 1
  • Shiori Miyahara
    • 2
  • Yuhei Yamauchi
    • 1
  1. 1.Interfaculty Initiative in Information Studiesthe University of TokyoTokyoJapan
  2. 2.Consortium for Renovating Education of the Futurethe University of TokyoTokyoJapan

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