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Kao, Yu-Ting; Kuo, Hung-Chih – Interactive Learning Environments, 2023
This study implemented the principles of dynamic assessment (DA) with computer technology, iSpring Quiz Maker, to (1) identify the English listening difficulties of 172 L2 English learners; (2) diagnose their individual learning needs, and (3) promote their future potential abilities. Upon evaluating the participating junior high school students'…
Descriptors: Listening Comprehension Tests, English (Second Language), Second Language Learning, Second Language Instruction
Gandini, Elena A. M.; Horák, Tania – Language Learning in Higher Education, 2020
This contribution reports on the developing and piloting of a computer-based version of the test of English as a foreign language produced by the University of Central Lancashire (UCLan), where it is currently used for the admission of international students and the subsequent evaluation of their language progress. Among other benefits,…
Descriptors: Computer Assisted Testing, Feedback (Response), Foreign Countries, English (Second Language)
Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
Wagner, Elvis; Krylova, Anna – Language Assessment Quarterly, 2021
When the COVID-19 pandemic made it impossible to do in-person, on campus testing, we were forced to create a new system to screen International Teaching Assistants (ITA) for Temple university. We used this opportunity to address many of the concerns and problems that we had identified with the previous test, and created a new test that could be…
Descriptors: Placement Tests, COVID-19, Pandemics, Computer Assisted Testing
Bateson, Gordon – International Journal of Computer-Assisted Language Learning and Teaching, 2021
As a result of the Japanese Ministry of Education's recent edict that students' written and spoken English should be assessed in university entrance exams, there is an urgent need for tools to help teachers and students prepare for these exams. Although some commercial tools already exist, they are generally expensive and inflexible. To address…
Descriptors: Test Construction, Computer Assisted Testing, Internet, Writing Tests
Mansfield, John; Saldana, Carmen; Hurst, Peter; Nordlinger, Rachel; Stoll, Sabine; Bickel, Balthasar; Perfors, Andrew – Cognitive Science, 2022
Inflectional affixes expressing the same grammatical category (e.g., subject agreement) tend to appear in the same morphological position in the word. We hypothesize that this cross-linguistic tendency toward "category clustering" is at least partly the result of a learning bias, which facilitates the transmission of morphology from one…
Descriptors: Morphology (Languages), Morphemes, Grammar, Transfer of Training
Jones, Daniel Marc; Cheng, Liying; Tweedie, M. Gregory – Canadian Journal of Learning and Technology, 2022
This article reviews recent literature (2011-present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present and future of assessment, teaching, and learning. The article begins by outlining the general…
Descriptors: Automation, Computer Assisted Testing, Scoring, Writing (Composition)
Huang, Heng-Tsung Danny; Hung, Shao-Ting Alan; Chao, Hsiu-Yi; Chen, Jyun-Hong; Lin, Tsui-Peng; Shih, Ching-Lin – Language Assessment Quarterly, 2022
Prompted by Taiwanese university students' increasing demand for English proficiency assessment, the absence of a test designed specifically for this demographic subgroup, and the lack of a localized and freely-accessible proficiency measure, this project set out to develop and validate a computerized adaptive English proficiency testing (E-CAT)…
Descriptors: Computer Assisted Testing, English (Second Language), Second Language Learning, Second Language Instruction
Using Processing Instruction to Teach English Reflexives to ESL Learners: A Computer Delivered Study
Rong Liu – Journal of Second Language Acquisition and Teaching, 2022
The study examines the effects of using computer delivered Processing Instruction (PI) to teach English reflexives. Thirty intermediate ESL learners participated in the pretest-treatment-posttest study. Participants received the input-based PI activities. Gains were assessed by traditional offline tasks such as sentence interpretation and…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Form Classes (Languages)
Taghizadeh, Masoomeh – Asian-Pacific Journal of Second and Foreign Language Education, 2023
Within the last two decades, researchers have begun to investigate how L2 learners process syntactic, morpho-syntactic, and lexical information during the comprehension of L2 sentences. The present study aimed to add to research by investigating how L1 influences L2 processing of sentences indicating plurality in constructions involving numerals.…
Descriptors: Nouns, Indo European Languages, Reaction Time, Language Processing
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
Hopp, Holger; Grüter, Theres – Second Language Research, 2023
In two visual-world eye-tracking experiments, we explore the extent to which conflicting first-language (L1) based grammatical parses influence second-language (L2) learners' on-line and off-line interpretation of sentences in the L2. We used cross-linguistic structural priming to potentially boost competition from the L1 grammar during the…
Descriptors: Contrastive Linguistics, Second Language Learning, Second Language Instruction, Grammar
Rassaei, Ehsan – Language Learning Journal, 2023
The present study investigated the effects of text-based and audio-based dynamic glosses on L2 vocabulary learning within a sociocultural approach. Dynamic glosses were operationalised as a set of incrementally ordered prompts, provided during text-based and audio-based interactions that guided the participants to identify the meaning of unknown…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, Student Evaluation
Zhang, Xiaopeng; Mai, Chunping – Language Teaching Research, 2023
This article reports on two studies, testing how three different types of input (skewed first, skewed random and balanced) affect second language (L2) learning of English present counterfactual (IF-Is) and past counterfactual (IF-IIs) conditionals, two constructions differing in complexity. The experiment included a proficiency test, a pretest, a…
Descriptors: Linguistic Input, Second Language Learning, Second Language Instruction, English (Second Language)
Isbell, Daniel R.; Kremmel, Benjamin – Language Testing, 2020
Administration of high-stakes language proficiency tests has been disrupted in many parts of the world as a result of the 2019 novel coronavirus pandemic. Institutions that rely on test scores have been forced to adapt, and in many cases this means using scores from a different test, or a new online version of an existing test, that can be taken…
Descriptors: Language Tests, High Stakes Tests, Language Proficiency, Second Language Learning

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