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
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;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641509