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What Works Clearinghouse Rating
Erik Voss – Language Testing, 2025
An increasing number of language testing companies are developing and deploying deep learning-based automated essay scoring systems (AES) to replace traditional approaches that rely on handcrafted feature extraction. However, there is hesitation to accept neural network approaches to automated essay scoring because the features are automatically…
Descriptors: Artificial Intelligence, Automation, Scoring, English (Second Language)
Ekaterina Voskoboinik; Anna von Zansen; Nhan Chi Phan; Yaroslav Getman; Tamás Grósz; Mikko Kurimo – Language Testing, 2025
Automated speaking assessment (ASA) of second language proficiency benefits both learners and educators. However, developing these systems for less commonly taught languages like Finnish and Finland Swedish is hindered by the need for large datasets with equal representation of all proficiency levels. Traditional machine learning algorithms used…
Descriptors: Second Languages, Language Tests, Speech Tests, Finno Ugric Languages
Han, Chao – Language Testing, 2022
Over the past decade, testing and assessing spoken-language interpreting has garnered an increasing amount of attention from stakeholders in interpreter education, professional certification, and interpreting research. This is because in these fields assessment results provide a critical evidential basis for high-stakes decisions, such as the…
Descriptors: Translation, Language Tests, Testing, Evaluation Methods
Yu-Tzu Chang; Ann Tai Choe; Daniel Holden; Daniel R. Isbell – Language Testing, 2024
In this Brief Report, we describe an evaluation of and revisions to a rubric adapted from the Jacobs et al.'s (1981) ESL COMPOSITION PROFILE, with four rubric categories and 20-point rating scales, in the context of an intensive English program writing placement test. Analysis of 4 years of rating data (2016-2021, including 434 essays) using…
Descriptors: Language Tests, Rating Scales, Second Language Learning, English (Second Language)
Farshad Effatpanah; Purya Baghaei; Mona Tabatabaee-Yazdi; Esmat Babaii – Language Testing, 2025
This study aimed to propose a new method for scoring C-Tests as measures of general language proficiency. In this approach, the unit of analysis is sentences rather than gaps or passages. That is, the gaps correctly reformulated in each sentence were aggregated as sentence score, and then each sentence was entered into the analysis as a polytomous…
Descriptors: Item Response Theory, Language Tests, Test Items, Test Construction
Alpizar, David; Li, Tongyun; Norris, John M.; Gu, Lixiong – Language Testing, 2023
The C-test is a type of gap-filling test designed to efficiently measure second language proficiency. The typical C-test consists of several short paragraphs with the second half of every second word deleted. The words with deleted parts are considered as items nested within the corresponding paragraph. Given this testlet structure, it is commonly…
Descriptors: Psychometrics, Language Tests, Second Language Learning, Test Items
Lestari, Santi B.; Brunfaut, Tineke – Language Testing, 2023
Assessing integrated reading-into-writing task performances is known to be challenging, and analytic rating scales have been found to better facilitate the scoring of these performances than other common types of rating scales. However, little is known about how specific operationalizations of the reading-into-writing construct in analytic rating…
Descriptors: Reading Writing Relationship, Writing Tests, Rating Scales, Writing Processes
Assessing the Speaking Proficiency of L2 Chinese Learners: Review of the Hanyu Shuiping Kouyu Kaoshi
Li, Albert W. – Language Testing, 2023
The Hanyu Shuiping Kaoshi (HSK) is a multi-level, multi-purpose Chinese proficiency test developed by the Center for Language Education and Cooperation (previously the Office of Chinese Language Council International and, henceforth, referred to by its colloquial name "Hanban"). It assesses reading, writing, and listening skills of…
Descriptors: Language Tests, Language Proficiency, Chinese, Second Language Learning
Warnby, Marcus; Malmström, Hans; Hansen, Kajsa Yang – Language Testing, 2023
The academic section of the Vocabulary Levels Test (VLT-Ac) and the Academic Vocabulary Test (AVT) both assess meaning-recognition knowledge of written receptive academic vocabulary, deemed central for engagement in academic activities. Depending on the purpose and context of the testing, either of the tests can be appropriate, but for research…
Descriptors: Foreign Countries, Scores, Written Language, Receptive Language
Xi, Xiaoming – Language Testing, 2017
In recent years, continuing advances in technology have increased the capacity to automate the extraction of a range of linguistic features of texts and thus have provided the impetus for the substantial growth of corpus linguistics. While corpus linguistic tools and methods have been used extensively in second language learning research, they…
Descriptors: Computational Linguistics, Second Language Learning, Language Tests, Evaluation Methods
Peng, Yue; Yan, Wei; Cheng, Liying – Language Testing, 2021
This test review focuses on the current version (2009) of [Chinese characters omitted] (Hanyu Shuiping Kaoshi), literally translated as the Chinese Language Proficiency Test and abbreviated as HSK. Tailored to non-native speakers of the Chinese language, this test consists of six proficiency levels (Levels 1 and 2 as beginners, Levels 3 and 4 as…
Descriptors: Language Proficiency, Language Tests, Chinese, Decision Making
Olson, Daniel J. – Language Testing, 2023
Measuring language dominance, broadly defined as the relative strength of each of a bilingual's two languages, remains a crucial methodological issue in bilingualism research. While various methods have been proposed, the Bilingual Language Profile (BLP) has been one of the most widely used tools for measuring language dominance. While previous…
Descriptors: Bilingualism, Language Dominance, Native Language, Second Language Learning
Wang, Zhen; Zechner, Klaus; Sun, Yu – Language Testing, 2018
As automated scoring systems for spoken responses are increasingly used in language assessments, testing organizations need to analyze their performance, as compared to human raters, across several dimensions, for example, on individual items or based on subgroups of test takers. In addition, there is a need in testing organizations to establish…
Descriptors: Automation, Scoring, Speech Tests, Language Tests
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
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

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