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Nouf J. Aljohani – Computer Assisted Language Learning, 2025
This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Huang, Ping-Yu; Tsao, Nai-Lung – Computer Assisted Language Learning, 2021
In this article, we describe an online English collocation explorer developed to help English L2 learners produce correct and appropriate collocations. Our tool, which is able to visually represent relevant correct/incorrect collocations on a single webpage, was designed based on the notions of collocation clusters and intercollocability proposed…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Error Correction
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
Sun, Susan Y. H. – Computer Assisted Language Learning, 2021
The purpose of this paper is to present a specific case of CALL task design adopting the patterns-based learning design approach. The approach provides a common framework/vocabulary for educational designers, particularly teachers, to systematically capture, articulate, make explicit, share and reuse expert knowledge of teaching and good design.…
Descriptors: Teaching Methods, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Bolgün, M. Ali; McCaw, Tatiana – Computer Assisted Language Learning, 2019
With the ever-increasing number of available language technology products, there is also a need to evaluate them objectively. Unsubstantiated beliefs about what language technology can and cannot do inside or outside the language classroom often influence decisions about the choice of language technology to be used. The declarative/procedural…
Descriptors: Neurosciences, Second Language Learning, Second Language Instruction, Metalinguistics
Khong, Hou Keat; Kabilan, Muhammad Kamarul – Computer Assisted Language Learning, 2022
The notion of "Micro-Learning" (ML) has been repeatedly accented as a successful learning approach in different learning phenomena. Despite these optimistic emphases, several studies lack a theoretical grounding in adoption of ML, thus missing a shared perspective of the education community. The scarce theoretical justification for…
Descriptors: Second Language Instruction, Cognitive Processes, Difficulty Level, Self Determination
Sundberg, Ross; Cardoso, Walcir – Computer Assisted Language Learning, 2019
This article describes the development of "Bande à Part", a mobile music application (app) for second language (L2) learners of French. Our focus on the pedagogical use of music results from the reported benefits that it offers language learners (e.g., it encourages repetitive exposure to the L2 in an enjoyable way, it extends the reach…
Descriptors: French, Music, Computer Software, Handheld Devices
Luo, Han; Yang, Chunsheng – Computer Assisted Language Learning, 2018
In an attempt to promote telecollaborative exchanges in the field of teaching Chinese as a foreign language, this paper conducts a comprehensive review of telecollaborative practice from the past twenty years and focuses on five important themes emerging from the literature on telecollaboration, i.e. models, tasks, challenges, technologies, and…
Descriptors: Chinese, Second Language Learning, Second Language Instruction, Teaching Methods
Cohen, Anat; Ezra, Orit – Computer Assisted Language Learning, 2018
Contextualised mobile assisted language learning (MALL) has been known for its potential in language learning rooted in social constructivism theories. However, a consistent approach to constituents of contextualised MALL, in addition to a quantitative tool to evaluate it, is missing in reported case studies. The present research, drawing upon…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Telecommunications
Lawley, Jim – Computer Assisted Language Learning, 2016
Research has shown that any assumption that L2 learners of English do well to rely on the feedback provided by generic spell checkers (for example, the MS Word spell checker) is misplaced. Efforts to develop spell checkers specifically for L2 learners have focused on training software to offer more appropriate suggestion lists for replacing…
Descriptors: English (Second Language), Second Language Learning, Feedback (Response), Spelling
Dixon, Edward M.; Hondo, Junko – Computer Assisted Language Learning, 2014
This paper will describe pedagogical approaches for re-purposing an open educational resource (OER) designed and produced by the Deutsche Welle. This free online program, "Deutsch Interaktiv," consists of authentic digital videos, slideshows and audio texts and gives a contemporary overview of the culture and language in Germany, Austria…
Descriptors: Open Education, Educational Resources, German, Second Language Instruction
Liou, Hsien-Chin – Computer Assisted Language Learning, 2012
Various language learning projects using "Second Life" (SL) have been documented; still, their specific learning potentials, particularly in English as a foreign language (EFL) context, remain to be explored. The current study aims to add one piece of empirical evidence on how SL can be infused into a computer-assisted language learning…
Descriptors: Evidence, Foreign Countries, Educational Technology, Internet
Engwall, Olov – Computer Assisted Language Learning, 2012
Pronunciation errors may be caused by several different deviations from the target, such as voicing, intonation, insertions or deletions of segments, or that the articulators are placed incorrectly. Computer-animated pronunciation teachers could potentially provide important assistance on correcting all these types of deviations, but they have an…
Descriptors: Feedback (Response), Phonetics, Pronunciation, Computer Assisted Instruction
Wu, Shaoqun; Franken, Margaret; Witten, Ian H. – Computer Assisted Language Learning, 2010
Extensive knowledge of collocations is a key factor that distinguishes learners from fluent native speakers. Such knowledge is difficult to acquire simply because there is so much of it. This paper describes a system that exploits the facilities offered by digital libraries to provide a rich collocation-learning environment. The design is based on…
Descriptors: Electronic Libraries, Language Processing, Internet, Native Speakers
Sha, Guoquan – Computer Assisted Language Learning, 2010
Data-driven learning (DDL), or corpus-based language learning, involves the learner in an exploratory task to discover appropriate expressions or collocates regarding his writing. However, the problematic units of meaning in each learner's writing are so diverse that conventional corpora often prove futile. The search engine Google with the…
Descriptors: Written Language, Search Engines, Second Language Learning, Computational Linguistics