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Han, Chao; Lu, Xiaolei – Computer Assisted Language Learning, 2023
The use of translation and interpreting (T&I) in the language learning classroom is commonplace, serving various pedagogical and assessment purposes. Previous utilization of T&I exercises is driven largely by their potential to enhance language learning, whereas the latest trend has begun to underscore T&I as a crucial skill to be…
Descriptors: Translation, Computational Linguistics, Correlation, Language Processing
W. A. Piyumi Udeshinee; Ola Knutsson; Sirkku Männikkö Barbutiu; Chitra Jayathilake – Computer Assisted Language Learning, 2024
The discussion on the dynamic assessment (DA) -- a combination of assessment and instruction -- and regulatory scales from implicit to explicit corrective feedback (CF) is relatively new in the CALL context. Applying the notions of Sociocultural Theory, Zone of Proximal Development (ZPD) and Mediation, the present study examines how a DA-based…
Descriptors: Synchronous Communication, Evaluation Methods, Feedback (Response), English (Second Language)
Ali Khodi; Hossein Khezerlou; Hassan Sahraei – Computer Assisted Language Learning, 2024
Regarding the whispered use of technology in instruction and assessment of language skills, the present study investigates the effect of e-portfolio assessment on EFL learners' speaking proficiency. To this end, 60 intermediate students were randomly selected and homogenized to participate in the study. Samples of the IELTS speaking tests were…
Descriptors: Reliability, Portfolio Assessment, Electronic Publishing, Student Evaluation
Turgay Han; Elif Sari – Computer Assisted Language Learning, 2024
Feedback is generally regarded as an integral part of EFL writing instruction. Giving individual feedback on students' written products can lead to a demanding, if not insurmountable, task for EFL writing teachers, especially in classes with a large number of students. Several Automated Writing Evaluation (AWE) systems which can provide automated…
Descriptors: Foreign Countries, Automation, Feedback (Response), English (Second Language)
Jeon, Jaeho – Computer Assisted Language Learning, 2023
This study investigated the effect of Chatbot-Assisted Dynamic Assessment (CA-DA) on vocabulary learning and provided insights into learner abilities drawn from its implementation. Through the use of mediating chatbots, this study implemented DA to multiple learners simultaneously and provided each learner with human-like interaction. The chatbots…
Descriptors: Elementary School Students, Vocabulary Development, Technology Uses in Education, Man Machine Systems
Taichi Yamashita – Computer Assisted Language Learning, 2024
The present paper reports on the effectiveness and inclusiveness of human-delivered synchronous written corrective feedback (SWCF) in paired writing tasks. Replicating Yamashita, Study 2 and Study 3 each conducted a classroom-based quasi-experimental study in an English-as-a-Second-Language (ESL) writing program at an American university. In Study…
Descriptors: Synchronous Communication, Feedback (Response), Student Evaluation, Written Language
Jianhua Zhang; Lawrence Jun Zhang – Computer Assisted Language Learning, 2024
This study mainly explored the effects of teacher feedback, peer feedback and automated feedback on the use of metacognitive strategies in EFL writing. Ninety-seven participants were recruited and divided into three groups, who received two months of feedback from teachers, peers and an automatic writing evaluation system, respectively, and then…
Descriptors: Feedback (Response), Metacognition, English (Second Language), Second Language Learning
Bakhoda, Iman; Shabani, Karim – Computer Assisted Language Learning, 2019
Computerized dynamic assessment (C-DA) brings the rationality of assessment-instruction integration behind dynamic assessment (DA) into computerized context through the presentation of electronic mediations (Poehner). This study attempts to unravel L2 learners' actual/developed ability and learning potential in a C-DA reading comprehension context…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Assisted Instruction
Ebadi, Saman; Rahimi, Masoud – Computer Assisted Language Learning, 2019
Drawing on Vygotskian sociocultural theory of mind and social constructivism, and adopting a sequential exploratory mixed-methods approach, this study explored the impact of online dynamic assessment (DA) on EFL learners' academic writing skills through one-on-one individual and online synchronous DA sessions over Google Docs. It also investigated…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Sociocultural Patterns
Chen, I-Jung – Computer Assisted Language Learning, 2016
This study compared how three different gloss modes affected college students' L2 reading comprehension and vocabulary acquisition. The study also compared how results on comprehension and vocabulary acquisition may differ depending on the four assessment methods used. A between-subjects design was employed with three groups of Mandarin-speaking…
Descriptors: Reading Comprehension, Multivariate Analysis, Scores, Multiple Choice Tests
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2017
This study reports on investigating students' English translation performance and their use of reading strategies in an elective English writing course offered to senior students of English as a Foreign Language for 100 minutes per week for 12 weeks. A courseware-implemented instruction combined with a task-based learning approach was adopted.…
Descriptors: Foreign Countries, College Students, Technical Institutes, Second Language Learning
Shih, Ya-Chun – Computer Assisted Language Learning, 2015
Integrating Google Street View into a three-dimensional virtual environment in which users control personal avatars provides these said users with access to an innovative, interactive, and real-world context for communication and culture learning. We have selected London, a city famous for its rich historical, architectural, and artistic heritage,…
Descriptors: Geographic Information Systems, Case Studies, Qualitative Research, Language Proficiency
Wu, Chung-Hsien; Su, Hung-Yu; Liu, Chao-Hong – Computer Assisted Language Learning, 2013
This study presents an efficient approach to personalized mispronunciation detection of Taiwanese-accented English. The main goal of this study was to detect frequently occurring mispronunciation patterns of Taiwanese-accented English instead of scoring English pronunciations directly. The proposed approach quickly identifies personalized…
Descriptors: Pronunciation, Pronunciation Instruction, English (Second Language), Second Language Instruction
Hung, Shao-Ting Alan – Computer Assisted Language Learning, 2012
Washback refers to both positive and negative influences of testing on teaching and learning. While washback studies abound in the literature, most of them deal with high-stakes, standardized tests or large-scale entrance examinations. Scant efforts have been made to uncover washback effects in alternative assessments. This study implemented an…
Descriptors: Foreign Countries, Communities of Practice, Portfolios (Background Materials), Student Evaluation
Baturay, Meltem Huri; Daloglu, Aysegul – Computer Assisted Language Learning, 2010
Many teachers have the tendency to look at only the standardized test scores of their students while ignoring how or why various dimensions of language proficiency has improved or not improved. Portfolio, however, reveals a clear picture of the student's growth and development. This study reflects that traditional approaches to assessment of…
Descriptors: Portfolios (Background Materials), Portfolio Assessment, Standardized Tests, Online Courses
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