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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
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
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
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
Ulum, Ömer Gökhan – Education and Information Technologies, 2020
Artificial Intelligence (AI) is growing -- as can be clearly observed not only from the rising recognition of assistance tools such as Siri (Apple) but also from the newly introduced Google Voiced Translator. Yet, some crucial benchmarks still have to be supplied before it can act as a proxy for a real instructor: imagination, creativity, and…
Descriptors: Foreign Countries, Computer Assisted Testing, Artificial Intelligence, Language Tests
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
Alotumi, Mohialdeen – International Journal of Computer-Assisted Language Learning and Teaching, 2018
This article is an action research of quasi-experimental nature. It aims at investigating the effect of CALL-based instruction on Yemeni students' score attainment on the TOEFL iBT. The sample of study consisted of 30 adult students randomly assigned to experimental and control groups. Data was collected within an 8-week period via a…
Descriptors: Computer Assisted Testing, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
Barsukova, Anastasia A.; Aksenova, Victoria Y. – International Association for Development of the Information Society, 2018
The article aims to outline and analyze the most demanding parts of computer-based exams for the students of the Ural Federal University named after the first President of Russian B.N. Yeltsin (Ekaterinburg, Russia) during one exam session of spring of 2016-2017. For this research, a quantitative method of mean scores for reading, listening, and…
Descriptors: Barriers, Computer Assisted Testing, Universities, English (Second Language)
Chen, Sherry Y.; Yeh, Chia-Chi – Educational Technology & Society, 2017
Various hints have been proposed to scaffold students. Such hints can be broadly divided into direct hints and indirect hints. On the other hand, individual differences existed among learners. In particular, cognitive styles greatly affect student learning. However, there is a lack of studies to investigate how cognitive styles affect students'…
Descriptors: Cognitive Style, Language Usage, English for Academic Purposes, English (Second Language)
Park, Siwon – Journal of Pan-Pacific Association of Applied Linguistics, 2017
This paper examines how different test methods may tap different aspects of second language knowledge. It employs multiple-choice (MC) and constructed response (CR) items which yield distinct or convergent information in the computer delivered testing of English in its presentation of this factor. In order to examine the effects of test method, a…
Descriptors: Evaluation Methods, Second Language Learning, English (Second Language), Computer Assisted Testing
Crossley, Scott A.; Kim, YouJin – Language Assessment Quarterly, 2019
The current study examined the effects of text-based relational (i.e., cohesion), propositional-specific (i.e., lexical), and syntactic features in a source text on subsequent integration of the source text in spoken responses. It further investigated the effects of word integration on human ratings of speaking performance while taking into…
Descriptors: Individual Differences, Syntax, Oral Language, Speech Communication
Ma, Hong; Slater, Tammy – CALICO Journal, 2016
This study utilized a theory proposed by Mohan, Slater, Luo, and Jaipal (2002) regarding the Developmental Path of Cause to investigate AWE score use in classroom contexts. This "path" has the potential to support validity arguments because it suggests how causal linguistic features can be organized in hierarchical order. Utilization of…
Descriptors: Scores, Automation, Writing Evaluation, Computer Assisted Testing
Laborda, Jesús García; Royo, Teresa Magal – Research-publishing.net, 2016
Online testing is becoming a popular way to deliver language tests, partly because of its reduced cost, partly because of the high quality of test data collection. In language tests, interface validation has received a limited attention in professional literature (García, Magal, da Rocha, & Fernández, 2010). This paper will show the validation…
Descriptors: Handheld Devices, Technology Uses in Education, Educational Technology, Computer Software
Ockey, Gary J.; Koyama, Dennis; Setoguchi, Eric; Sun, Angela – Language Testing, 2015
The purpose of this study was to determine the extent to which performance on the TOEFL iBT speaking section is associated with other indicators of Japanese university students' abilities to communicate orally in an academic English environment and to determine which components of oral ability for these tasks are best assessed by TOEFL iBT. To…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Correlation
Barkaoui, Khaled; Brooks, Lindsay; Swain, Merrill; Lapkin, Sharon – Applied Linguistics, 2013
This study investigated the strategic behaviors that test-takers reported using when responding to integrated and independent speaking tasks in an English oral proficiency test [the Speaking Section of the Internet-based Test of English as a Foreign Language[TM] (TOEFL iBT)] and the relationship between test-takers' strategic behaviors and their…
Descriptors: Achievement Tests, English (Second Language), Speech Communication, Second Language Learning
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