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Haug, Tobias; Mann, Wolfgang; Holzknecht, Franz – Sign Language Studies, 2023
This study is a follow-up to previous research conducted in 2012 on computer-assisted language testing (CALT) that applied a survey approach to investigate the use of technology in sign language testing worldwide. The goal of the current study was to replicate the 2012 study and to obtain updated information on the use of technology in sign…
Descriptors: Computer Assisted Testing, Sign Language, Natural Language Processing, Language Tests
McLeod, Melissa; Cheng, Liying – Language Assessment Quarterly, 2023
The Canadian English Language Proficiency Index Program (CELPIP) Test was designed for immigration and citizenship in Canada. CELPIP is a computer-based English-language proficiency test which covers all four skills. This test review provides a description of the test and its construct, tasks, and delivery. Then, it appraises CELPIP for…
Descriptors: Language Tests, Language Proficiency, English (Second Language), Second Language Learning
Kim, Ahyoung Alicia; Yumsek, Meltem; Kemp, Jason A.; Chapman, Mark; Cook, H. Gary – Language Testing, 2023
English learners (ELs) comprise approximately 10% of kindergarten to Grade 12 students in US public schools, with about 15% of ELs identified as having disabilities. English language proficiency (ELP) assessments must adhere to universal design principles and incorporate universal tools, designed to increase accessibility for all ELs, including…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Students with Disabilities
Chan, Jessica; Adlof, Suzanne M.; Duff, Dawna; Mitchell, Alexis; Ragunathan, Maalavika; Ehrhorn, Anna M. – Language, Speech, and Hearing Services in Schools, 2022
Purpose: The purpose of this study was to examine the relationship between parent concerns about children's oral language, reading, and related skills and their children's performance on standardized assessments of language and reading, with a particular focus on whether those relationships differed between children recruited for in-school versus…
Descriptors: Language Skills, Reading Ability, Oral Language, Parents
Gendler-Shalev, Hila; Dromi, Esther – Journal of Child Language, 2022
This article presents data on lexical development of 881 Israeli Hebrew-speaking monolingual toddlers ages 1;0 to 2;0. A Web-based version of the Hebrew MacArthur-Bates Communicative Development Inventories (H-MB-CDI) was used for data collection. Growth curves for expressive vocabulary, receptive vocabulary, actions and gestures were…
Descriptors: Semitic Languages, Language Acquisition, Toddlers, Computer Assisted Testing
Kachergis, George; Marchman, Virginia A.; Dale, Philip S.; Mankewitz, Jessica; Frank, Michael C. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Measuring the growth of young children's vocabulary is important for researchers seeking to understand language learning as well as for clinicians aiming to identify early deficits. The MacArthur-Bates Communicative Development Inventories (CDIs) are parent report instruments that offer a reliable and valid method for measuring early…
Descriptors: Computer Assisted Testing, Vocabulary Development, English, Spanish
Bahari, Akbar – Open Learning, 2021
This study reports on a review of 286 peer-reviewed articles from 2002-2018 to identify the mainstream assessment tools and strategies adopted for language proficiency assessment in computer-assisted language learning studies. Given the diversity of tools and strategies being adopted for assessment purposes, it was highly critical to trace the…
Descriptors: Language Proficiency, Second Language Learning, Language Tests, Computer Assisted Instruction
Tianyu Qin – Educational Linguistics, 2023
Dynamic assessment (DA) breaks the traditional dichotomy between assessment and instruction by including mediation in assessment procedures ((Poehner "Dynamic assessment: A Vygotskian approach to understanding and promoting second language development." Springer, Berlin, Germany, 2008)). The focus of DA is on how students or test-takers…
Descriptors: Computer Assisted Instruction, Student Evaluation, Evaluation Methods, Computer Assisted Testing
Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie; McFadden, Sara; Reynolds, Dan; Lantos, Tess; Jones, Sara – Assessment for Effective Intervention, 2022
Assessment of language skills for upper elementary and middle schoolers is important due to the strong link between language and reading comprehension. Yet, currently few practical, reliable, valid, and instructionally informative assessments of language exist. This study provides validation evidence for Monster, P.I., which is a gamified,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Language Tests, Vocabulary
Wilson, Alexander C.; Bishop, Dorothy V. M. – Journal of Child Language, 2022
It remains unclear whether pragmatic language skills and core language skills (grammar and vocabulary) are distinct language domains. The present work aimed to tease apart these domains using a novel online assessment battery administered to almost 400 children aged 7 to 13 years. Confirmatory factor analysis indicated that pragmatic and core…
Descriptors: Pragmatics, Computer Assisted Testing, Factor Analysis, Grammar
Plakans, Lia; Gebril, Atta; Bilki, Zeynep – Language Testing, 2019
The present study investigates integrated writing assessment performances with regard to the linguistic features of complexity, accuracy, and fluency (CAF). Given the increasing presence of integrated tasks in large-scale and classroom assessments, validity evidence is needed for the claim that their scores reflect targeted language abilities.…
Descriptors: Accuracy, Language Tests, Scores, Writing Evaluation
Chai, Jun Ho; Lo, Chang Huan; Mayor, Julien – Journal of Speech, Language, and Hearing Research, 2020
Purpose: This study introduces a framework to produce very short versions of the MacArthur-Bates Communicative Development Inventories (CDIs) by combining the Bayesian-inspired approach introduced by Mayor and Mani (2019) with an item response theory-based computerized adaptive testing that adapts to the ability of each child, in line with…
Descriptors: Bayesian Statistics, Item Response Theory, Measures (Individuals), Language Skills
He, Angela Xiaoxue; Kon, Maxwell; Arunachalam, Sudha – Language Learning and Development, 2020
Linguistic contexts provide useful information about verb meanings by narrowing the space of candidate concepts. Intuitively, the more information, the better. For example, "the tall girl is 'fezzing,'" as compared to "the girl is fezzing," provides more information about which event, out of multiple candidate events, is being…
Descriptors: Verbs, Language Acquisition, Learning Processes, Language Processing
Niimi, Noriyasu; Matsuura, Nobukazu – Language Testing in Asia, 2022
Introduction: This paper describes the exploratory case and initial evaluation of the computer-based testing (CBT) prototype. The advantage of CBT over paper-based testing (PBT) is that it allows us to control the order of questions and provides test takers with continuous tasks capturing their thought processes. Additionally, their response…
Descriptors: Foreign Countries, Junior High School Students, Computer Assisted Testing, Reaction Time
Stradiotova, Eva; Nemethova, Ildiko; Stefancik, Radoslav – Advanced Education, 2021
In the paper, we deal with the comparison of the evaluation of students' language skills in two environments, on-site and online. Testing took place through the moodle platform, where we used e-test, during the first and second waves of the pandemic. The main aim of the research was to find out what impact the environment in which the testing…
Descriptors: Computer Assisted Testing, Test Format, Synchronous Communication, Physical Environment