• DocumentCode
    3176286
  • Title

    Computerized adaptive testing: A new trend in language testing

  • Author

    Chen, Jun ; Wang, Lei

  • Author_Institution
    Sch. of Humanities, Econ. & Law, Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    29-30 Oct. 2010
  • Firstpage
    725
  • Lastpage
    728
  • Abstract
    Computerized adaptive language testing (CALT), supported by item response theory (IRT) and Internet technologies, has become an important aspect in modern testing. This paper first reviews the basic theories in testing and then presents the process of a CALT. Later, key issues of a CALT, such as construction of item banks, item selection and terminations of a test, have been addressed in detail. Besides, the advantages and disadvantages of a CALT are discussed in accordance with the current CALT practice around the world. By doing so, the paper points out that CALT is the new trend in language testing and will be applied massively in the future in China.
  • Keywords
    Internet; computer aided instruction; statistical testing; CALT; Internet; computerized adaptive language testing; item response theotγ; classical testing theory (CTT); computerized adaptive language testing (CALT); item banks; item response theory (IRT); item selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Education (ICAIE), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-6935-2
  • Type

    conf

  • DOI
    10.1109/ICAIE.2010.5641509
  • Filename
    5641509