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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)
Exploring Language Assessment Literacy: A Case of Perceived Needs of Two Stakeholder Groups in Egypt
Amira Desouky Ali – International Journal of Training and Development, 2024
Stakeholders in exam-driven countries are responsible for developing test-related tasks to assess the quality of English as a Foreign Language (EFL) teaching and learning. Hence, the language assessment literacy (LAL) of different stakeholders has to be investigated. This mixed-methods study explored the required LAL competencies among two groups…
Descriptors: Language Tests, Assessment Literacy, Second Language Learning, English (Second Language)
Venessa F. Manna; Shuhong Li; Spiros Papageorgiou; Lixiong Gu – ETS Research Report Series, 2025
This technical manual describes the purpose and intended uses of the TOEFL iBT test, its target test-taker population, and relevant language use domains. The test design and scoring procedures are presented first, followed by a research agenda intended to support the interpretation and use of test scores. Given the updates to the test starting…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Test Construction
Xinming Chen; Ziqian Zhou; Malila Prado – International Journal of Assessment Tools in Education, 2025
This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
Sara T. Cushing – ETS Research Report Series, 2025
This report provides an in-depth comparison of TOEFL iBT® and the Duolingo English Test (DET) in terms of the degree to which both tests assess academic language proficiency in listening, reading, writing, and speaking. The analysis is based on publicly available documentation on both tests, including sample test questions available on the test…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Academic Language
Seedhouse, Paul; Satar, Müge – Classroom Discourse, 2023
The same L2 speaking performance may be analysed and evaluated in very different ways by different teachers or raters. We present a new, technology-assisted research design which opens up to investigation the trajectories of convergence and divergence between raters. We tracked and recorded what different raters noticed when, whilst grading a…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Oral Language
Kornwipa Poonpon; Paiboon Manorom; Wirapong Chansanam – Contemporary Educational Technology, 2023
Automated essay scoring (AES) has become a valuable tool in educational settings, providing efficient and objective evaluations of student essays. However, the majority of AES systems have primarily focused on native English speakers, leaving a critical gap in the evaluation of non-native speakers' writing skills. This research addresses this gap…
Descriptors: Automation, Essays, Scoring, English (Second Language)
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
Arefsadr, Sajjad; Babaii, Esmat – TESL-EJ, 2023
According to the IELTS official website, IELTS candidates usually score lower in the IELTS Writing test than in the other language skills. This is disappointing for the many IELTS candidates who fail to get the overall band score they need. Surprisingly enough, few studies have addressed this issue. The present study, then, is aimed at shedding…
Descriptors: Second Language Learning, Language Tests, English (Second Language), Foreign Countries
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
Gebisa Ayana Derseh; Sherif Ali Ahmed; Rufael Disasa Warabu – Acta Educationis Generalis, 2024
The study aimed to investigate the implementation of Competency-Based Language Teaching assessment and proficiency in English speaking skills. The study adopted a mixed methods approach and descriptive survey design. A random sample of 97 grade four English teachers and 56 grade four students were selected. The study utilized various methods to…
Descriptors: Teaching Methods, Competency Based Education, Speech Communication, English (Second Language)
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
Polat, Murat – International Online Journal of Education and Teaching, 2020
The assessment of speaking skills in foreign language testing has always had some pros (testing learners' speaking skills doubles the validity of any language test) and cons (many testrelevant/irrelevant variables interfere) since it is a multi-dimensional process. In the meantime, exploring grader behaviours while scoring learners' speaking…
Descriptors: Item Response Theory, Interrater Reliability, Speech Skills, Second Language Learning
Davis, Larry; Papageorgiou, Spiros – Assessment in Education: Principles, Policy & Practice, 2021
Human raters and machine scoring systems potentially have complementary strengths in evaluating language ability; specifically, it has been suggested that automated systems might be used to make consistent measurements of specific linguistic phenomena, whilst humans evaluate more global aspects of performance. We report on an empirical study that…
Descriptors: Scoring, English for Academic Purposes, Oral English, Speech Tests

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