This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…

The papers in this special issue provide support for continued scrutiny of interactional competence (IC) as an important component of the speaking construct. The contributions underscore the complex nature of IC and remind us of the multiple factors that affect any construct definition. At the same time, each study offers insights into those…

E-rater[R] is an automated essay scoring system that uses natural language processing techniques to extract features from essays and to model statistically human holistic ratings. Educational Testing Service has investigated the use of e-rater, in conjunction with human ratings, to score one of the two writing tasks on the TOEFL-iBT[R] writing…

Advances in natural language processing (NLP) and automatic speech recognition and processing technologies offer new opportunities for language testing. Despite their potential uses on a range of language test item types, relatively little work has been done in this area, and it is therefore not well understood by test developers, researchers or…

Describes ways that language test design can be computerized, and illustrates some test construction methods derived from the field of operations research. (CB)

Describes the development of a task-based test, Taaltoets Instroom Beroepsopleiding (TIBO), designed to measure whether nonnative adult speakers of Dutch posses the level of Dutch required to enter vocational training in the industrial sector. Focuses on three tensions that had to be considered throughout the process of test development.…