With the advent of the new millenium, it's more important than ever to be equipped with good communication skills to interact successfully with 'global villagers.' As the need to acquire foreign language skills is evergrowing on the part of society as...
With the advent of the new millenium, it's more important than ever to be equipped with good communication skills to interact successfully with 'global villagers.' As the need to acquire foreign language skills is evergrowing on the part of society as a whole as well as individuals, so is the challenge the discipline of language testing is to meet. In order to look to the future, language testing, as a frontier of applied linguistics, has been actively incorporating state-of-the-art multimedia technology and measurement theories into new testing methods and scoring schemes, resulting in computer adaptive/based language testing (CALT).
This sophisticated computer technology was made possible by interdisciplinary research among such major fields of cognitive science as computational linguistics, computer science, and psychology. Among the most noteworthy technology are natural language processing and automatic speech recognition, both of which have a great potential to empower communicative performance testing (focused on production skills) by enhancing practicality and reliability. At this juncture, the present study is intended to overview the current developments of language testing and to explore its future prospects in terms of applicability of sophisticated computer technology in developing more valid measurement tools based on new test methods and scoring schemes.