• DocumentCode
    2087892
  • Title

    Improving Vocabulary Acquisition By Designing A Storytelling Robot

  • Author

    Wu, Chun-Cheng ; Chang, Chih-Wei ; Liu, Baw-Jhiune ; Chen, Gwo-Dong

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ.
  • fYear
    2008
  • fDate
    1-5 July 2008
  • Firstpage
    498
  • Lastpage
    500
  • Abstract
    From the review of many literatures, it is considered that there are still prevailing obstacles for second language learners due to insufficient vocabulary. Fortunately, there is a way to increase onepsilas vocabulary by means of extensive reading realizing stories. The research tries to utilize robot as a medium to design a pressure-free and intriguing learning system. It is a learning method imitating TPRS that enables learners to design a personal storytelling robot. The learners proceed with extensive reading during the process of designing a storytelling robot and achieve vocabulary acquisition through designing the movements of robots corresponded to the vocabulary by themselves. Our research is in a preliminary stage of realizing userspsila responses. Ten learners from graduate school students of National Central University Department of Computer Science and Information Engineering, the result of tests and interviews will be the basis of further mass amount experiments and improvement.
  • Keywords
    computer aided instruction; intelligent robots; knowledge acquisition; learning systems; vocabulary; National Central University; TPRS; graduate school students; learning system; second language learners; storytelling robot; vocabulary acquisition; Computer science; Design engineering; Education; Educational institutions; Educational robots; Frequency; Learning systems; Process design; Psychology; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
  • Conference_Location
    Santander, Cantabria
  • Print_ISBN
    978-0-7695-3167-0
  • Type

    conf

  • DOI
    10.1109/ICALT.2008.111
  • Filename
    4561748