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Christiansen, Iben Maj; Els, Rosanne – Computer Assisted Language Learning, 2021
Few people who did not grow up speaking Zulu have learned the language later. There are limited resources for second language Zulu learning, whether textbooks, readers, or computerised resources. We set out to develop software for this purpose, to support learners' independent learning. Drawing on research on language learning, we used a number of…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Bibauw, Serge; François, Thomas; Desmet, Piet – Computer Assisted Language Learning, 2019
This article presents the results of a systematic review of the literature on dialogue-based CALL, resulting in a conceptual framework for research on the matter. Applications allowing a learner to have a conversation in a foreign language with a computer have been studied from various perspectives and under different names (dialogue systems,…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teaching Methods
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Zhu, Xuelian; Aryadoust, Vahid – Computer Assisted Language Learning, 2022
A fundamental requirement of language assessments which is underresearched in computerized assessments is impartiality (fairness) or equal treatment of test takers regardless of background. The present study aimed to evaluate fairness in the Pearson Test of English (PTE) Academic Reading test, which is a computerized reading assessment, by…
Descriptors: Computer Assisted Testing, Language Tests, Native Language, Culture Fair Tests
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Kennedy, Claire; Miceli, Tiziana – Computer Assisted Language Learning, 2017
While there is widespread agreement on the expected benefits of hands-on access to corpora for language learners, reports abound of the difficulties involved in realising those benefits in practice. A particular focus of discussion is the challenge of transferring the skills of the corpus linguist to learners, so that they can explore this type of…
Descriptors: Computational Linguistics, Teaching Methods, Second Language Learning, Second Language Instruction
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Ballance, Oliver James – Computer Assisted Language Learning, 2017
One of the most promising avenues of research in computer-assisted language learning is the potential for language learners to make use of language corpora. However, using a corpus requires use of a corpus tool as an interface, typically a concordancer. How such a tool can be made most accessible to learners is an important issue. Specifically,…
Descriptors: Teaching Methods, Indexes, Multivariate Analysis, Classification
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Rienties, Bart; Lewis, Tim; McFarlane, Ruth; Nguyen, Quan; Toetenel, Lisette – Computer Assisted Language Learning, 2018
Language education has a rich history of research and scholarship focusing on the effectiveness of learning activities and the impact these have on student behaviour and outcomes. One of the basic assumptions in foreign language pedagogy and CALL in particular is that learners want to be able to communicate effectively with native speakers of…
Descriptors: Data Analysis, Second Language Learning, Second Language Instruction, Teaching Methods
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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
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Matthews, Joshua; O'Toole, John Mitchell; Chen, Shen – Computer Assisted Language Learning, 2017
This paper reports on task interaction, task success and word learning among second language (L2) learners of different levels of word recognition from speech (WRS) proficiency who used a CALL application previously shown to be effective in the development of L2 WRS. Participants (N = 65) were categorised into three levels of L2 WRS proficiency…
Descriptors: Word Recognition, Language Proficiency, Scores, Comparative Analysis