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Ying 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
Wei Wang – Education and Information Technologies, 2024
As information and communication technologies develop in China, language tests are shifting from conventional paper-and-pencil testing to computerized testing. The aim of this study is to investigate Chinese test-takers' adaptability to computerized language exams, including their performance across testing modes and their perception of the…
Descriptors: Computer Assisted Testing, Language Tests, Second Language Learning, Second Language Instruction
Yu, Wenjing; Iwashita, Noriko – Language Testing in Asia, 2021
Computer-based testing (CBT), which refers to delivering assessments with computers, has been widely used in large English proficiency tests worldwide. Despite an increasing CBT in China, limited research is available concerning whether CBT can be used for the Test for English Majors-Band 4 (TEM 4). The current study investigated whether testing…
Descriptors: Test Format, Computer Assisted Testing, Language Tests, Second Language Learning
Gu, Lin; Ling, Guangming; Liu, Ou Lydia; Yang, Zhitong; Li, Guirong; Kardanova, Elena; Loyalka, Prashant – Assessment & Evaluation in Higher Education, 2021
We examine the effects of computer-based versus paper-based assessment of critical thinking skills, adapted from English (in the U.S.) to Chinese. Using data collected based on a random assignment between the two modes in multiple Chinese colleges, we investigate mode effects from multiple perspectives: mean scores, measurement precision, item…
Descriptors: Critical Thinking, Tests, Test Format, Computer Assisted Testing
Linlin, Cao – English Language Teaching, 2020
Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Feifei Han; Zehua Wang – OTESSA Conference Proceedings, 2021
This study compared the effects of teacher feedback (TF) and online automated feedback (AF) on the quality of revision of English writing. It also examined the strengths and weaknesses of the two types of feedback perceived by English language learners (ELLs) as a foreign language (FL). Sixty-eight Chinese students from two English classes…
Descriptors: Comparative Analysis, Feedback (Response), English (Second Language), Second Language Instruction
Min, Shangchao; He, Lianzhen; Zhang, Jie – Language Teaching, 2020
This article reviews a selected sample of 70 empirical studies in journal articles and doctoral dissertations on language assessment in China between 2011 and 2018. Following a brief introduction to the history and current state of language assessment in China, the article presents a critical review of language assessment research on six themes…
Descriptors: Language Tests, Test Reliability, Test Validity, Journal Articles
Ling, Guangming – Language Assessment Quarterly, 2017
To investigate whether the type of keyboard used in exams introduces any construct-irrelevant variance to the TOEFL iBT Writing scores, we surveyed 17,040 TOEFL iBT examinees from 24 countries on their keyboard-related perceptions and preferences and analyzed the survey responses together with their test scores. Results suggest that controlling…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Writing Tests
Xiao, Feng; Taguchi, Naoko; Li, Shuai – Studies in Second Language Acquisition, 2019
This study is the first to examine contributions of proficiency subskills to pragmatic development. We used the latent growth curve modeling to reveal the causal relationships between proficiency subskills and pragmatic competence in 109 American learners of Chinese across two data points over three months abroad in China. Proficiency was measured…
Descriptors: Language Proficiency, Study Abroad, Pragmatics, Correlation
Papageorgiou, Spiros; Wu, Sha; Hsieh, Ching-Ni; Tannenbaum, Richard J.; Cheng, Mengmeng – ETS Research Report Series, 2019
The past decade has seen an emerging interest in mapping (aligning or linking) test scores to language proficiency levels of external performance scales or frameworks, such as the Common European Framework of Reference (CEFR), as well as locally developed frameworks, such as China's Standards of English Language Ability (CSE). Such alignment is…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Computer Assisted Testing
Burton, John Dylan – Language Assessment Quarterly, 2020
An assumption underlying speaking tests is that scores reflect the ability to produce online, non-rehearsed speech. Speech produced in testing situations may, however, be less spontaneous if extensive test preparation takes place, resulting in memorized or rehearsed responses. If raters detect these patterns, they may conceptualize speech as…
Descriptors: Language Tests, Oral Language, Scores, Speech Communication
Ramineni, Chaitanya; Williamson, David – ETS Research Report Series, 2018
Notable mean score differences for the "e-rater"® automated scoring engine and for humans for essays from certain demographic groups were observed for the "GRE"® General Test in use before the major revision of 2012, called rGRE. The use of e-rater as a check-score model with discrepancy thresholds prevented an adverse impact…
Descriptors: Scores, Computer Assisted Testing, Test Scoring Machines, Automation
Jin, Yan; Yan, Ming – Language Assessment Quarterly, 2017
One major threat to validity in high-stakes testing is construct-irrelevant variance. In this study we explored whether the transition from a paper-and-pencil to a computer-based test mode in a high-stakes test in China, the College English Test, has brought about variance irrelevant to the construct being assessed in this test. Analyses of the…
Descriptors: Writing Tests, Computer Assisted Testing, Computer Literacy, Construct Validity
Gray, Bethany; Geluso, Joe; Nguyen, Phuong – ETS Research Report Series, 2019
In the present study, we take a longitudinal, corpus-based perspective to investigate short-term (over 9 months) linguistic change in the language produced for the spoken and written sections of the "TOEFL iBT"® test by a group of English-as-a-foreign-language (EFL) learners in China. The goal of the study is to identify patterns that…
Descriptors: Grammar, Computer Assisted Testing, Phrase Structure, Language Proficiency
Lee, Yi-Hsuan; Haberman, Shelby J. – International Journal of Testing, 2016
The use of computer-based assessments makes the collection of detailed data that capture examinees' progress in the tests and time spent on individual actions possible. This article presents a study using process and timing data to aid understanding of an international language assessment and the examinees. Issues regarding test-taking strategies,…
Descriptors: Computer Assisted Testing, Test Wiseness, Language Tests, International Assessment
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