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Direct linkYing Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
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…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests
Latifi, Syed; Gierl, Mark – Language Testing, 2021
An automated essay scoring (AES) program is a software system that uses techniques from corpus and computational linguistics and machine learning to grade essays. In this study, we aimed to describe and evaluate particular language features of Coh-Metrix for a novel AES program that would score junior and senior high school students' essays from…
Descriptors: Writing Evaluation, Computer Assisted Testing, Scoring, Essays
Eberharter, Kathrin; Kormos, Judit; Guggenbichler, Elisa; Ebner, Viktoria S.; Suzuki, Shungo; Moser-Frötscher, Doris; Konrad, Eva; Kremmel, Benjamin – Language Testing, 2023
In online environments, listening involves being able to pause or replay the recording as needed. Previous research indicates that control over the listening input could improve the measurement accuracy of listening assessment. Self-pacing also supports the second language (L2) comprehension processes of test-takers with specific learning…
Descriptors: Literacy, Native Language, Second Language Learning, Second Language Instruction
