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Xiaoqin Shi; Xiaoqing Wang; Wei Zhang – Language Testing in Asia, 2024
Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)--the three dimensions in evaluating L2 speakers' oral proficiency, and the subsequent impact indices…
Descriptors: Speech Communication, Oral Language, Language Proficiency, Scoring
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Cox, Troy L.; Brown, Alan V.; Thompson, Gregory L. – Language Testing, 2023
The rating of proficiency tests that use the Inter-agency Roundtable (ILR) and American Council on the Teaching of Foreign Languages (ACTFL) guidelines claims that each major level is based on hierarchal linguistic functions that require mastery of multidimensional traits in such a way that each level subsumes the levels beneath it. These…
Descriptors: Oral Language, Language Fluency, Scoring, Cues
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Li, Shuai; Wen, Ting; Li, Xian; Feng, Yali; Lin, Chuan – Language Testing, 2023
This study compared holistic and analytic marking methods for their effects on parameter estimation (of examinees, raters, and items) and rater cognition in assessing speech act production in L2 Chinese. Seventy American learners of Chinese completed an oral Discourse Completion Test assessing requests and refusals. Four first-language (L1)…
Descriptors: Speech Acts, Second Language Learning, Second Language Instruction, Chinese
Miyamoto, Mayu – ProQuest LLC, 2019
Despite an emphasis on oral communication in most foreign language classrooms, the resource-intensive nature (i.e. time and manpower) of speaking tests hinder regular oral assessments. A possible solution is the development of a (semi-) automated scoring system. When it is used in conjunction with human raters, the consistency of computers can…
Descriptors: Second Language Learning, Speech Communication, Oral Language, Foreign Countries
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Xin, Li; Zhongbao, Zhao – International Education Studies, 2021
We advocate the in-depth integration of information technology and education in the digital age, and we also encourage teachers of all disciplines to actively carry out online and offline blended learning. This study attempts to use an empirical research to apply the Blended Learning to the oral English teaching in the first year of senior high…
Descriptors: Blended Learning, Oral Language, Language Proficiency, Second Language Learning
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Babaii, Esmat; Taghaddomi, Shahin; Pashmforoosh, Roya – Language Testing, 2016
Perceptual (mis)matches between teachers and learners are said to affect learning success or failure. Self-assessment, as a formative assessment tool, may, inter alia, be considered a means to minimize such mismatches. Therefore, the present study investigated the extent to which learners' assessment of their own speaking performance, before and…
Descriptors: Self Evaluation (Individuals), Evaluation Criteria, Oral Language, Second Language Learning
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Jin, Tan; Mak, Barley – Language Testing, 2013
For Chinese as a second language (L2 Chinese), there has been little research into "distinguishing features" (Fulcher, 1996; Iwashita et al., 2008) used in scoring L2 Chinese speaking performance. The study reported here investigates the relationship between the distinguishing features of L2 Chinese spoken performances and the scores…
Descriptors: Second Languages, Second Language Learning, Chinese, Holistic Evaluation
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Leaper, David A.; Riazi, Mehdi – Language Testing, 2014
This paper reports an investigation into how the prompt may influence the discourse of group oral tests. The group oral test, in which three or four participants are rated on their ability to discuss a prompt, is a format for assessing the spoken ability of language learners. In this study, 141 Japanese university students were videoed in 41 group…
Descriptors: Oral Language, Language Tests, Second Language Learning, Prompting
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Xi, Xiaoming; Higgins, Derrick; Zechner, Klaus; Williamson, David – Language Testing, 2012
This paper compares two alternative scoring methods--multiple regression and classification trees--for an automated speech scoring system used in a practice environment. The two methods were evaluated on two criteria: construct representation and empirical performance in predicting human scores. The empirical performance of the two scoring models…
Descriptors: Scoring, Classification, Weighted Scores, Comparative Analysis
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Xi, Xiaoming – Language Testing, 2010
Motivated by cognitive theories of graph comprehension, this study systematically manipulated characteristics of a line graph description task in a speaking test in ways to mitigate the influence of graph familiarity, a potential source of construct-irrelevant variance. It extends Xi (2005), which found that the differences in holistic scores on…
Descriptors: Familiarity, Graphs, Scoring, Task Analysis
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Ginther, April; Dimova, Slobodanka; Yang, Rui – Language Testing, 2010
Information provided by examination of the skills that underlie holistic scores can be used not only as supporting evidence for the validity of inferences associated with performance tests but also as a way to improve the scoring rubrics, descriptors, and benchmarks associated with scoring scales. As fluency is considered a critical, perhaps…
Descriptors: Performance Tests, Scoring Rubrics, Measures (Individuals), Scoring
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Van Moere, Alistair; Suzuki, Masanori; Downey, Ryan; Cheng, Jian – Australian Review of Applied Linguistics, 2009
This paper discusses the development of an assessment to satisfy the International Civil Aviation Organization (ICAO) Language Proficiency Requirements. The Versant Aviation English Test utilizes speech recognition technology and a computerized testing platform, such that test administration and scoring are fully automated. Developed in…
Descriptors: Scoring, Test Construction, Language Proficiency, Standards