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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
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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
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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
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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
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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
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Futagi, Yoko; Deane, Paul; Chodorow, Martin; Tetreault, Joel – Computer Assisted Language Learning, 2008
This paper describes the first prototype of an automated tool for detecting collocation errors in texts written by non-native speakers of English. Candidate strings are extracted by pattern matching over POS-tagged text. Since learner texts often contain spelling and morphological errors, the tool attempts to automatically correct them in order to…
Descriptors: Native Speakers, English (Second Language), Limited English Speaking, Computational Linguistics
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Wold, Kari A. – Computer Assisted Language Learning, 2011
This article proposes an instructional design model for blended learning writing courses for English language learners (ELLs). It will do so by combining the main points of the cognitive load, activity, sociocultural, and transactional distance theories to present four tenets essential for optimal learning for ELLs: structure, environment,…
Descriptors: Blended Learning, Instructional Design, Computer Assisted Instruction, Second Language Learning
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Yang, Hui-Chun; Zapata-Rivera, Diego – Computer Assisted Language Learning, 2010
This article describes the development and evaluation of a computer-assisted language learning approach which integrates a finite state dialogue engine with an animated pedagogical agent. The design of the request game is theoretically motivated by interlanguage pragmatics and Long's Interaction Hypothesis. The tutoring system creates a venue in…
Descriptors: Feedback (Response), Interlanguage, Computer Assisted Instruction, Second Language Learning
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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
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Amaral, Luiz; Meurers, Detmar – Computer Assisted Language Learning, 2008
Student models for Intelligent Computer Assisted Language Learning (ICALL) have largely focused on the acquisition of grammatical structures. In this paper, we motivate a broader perspective of student models for ICALL that incorporates insights from current research on second language acquisition and language testing. We argue for a student model…
Descriptors: Linguistic Competence, Grammar, Second Language Learning, Language Tests
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Johns, Tim F.; Hsingchin, Lee; Lixun, Wang – Computer Assisted Language Learning, 2008
This paper presents particular pedagogical applications of a number of corpus-based CALL (computer assisted language learning) programs such as "CONTEXTS" and "CLOZE," "MATCHUP" and "BILINGUAL SENTENCE SHUFFLER," in the teaching of English through children's literature. An elective course in Taiwan for…
Descriptors: Childrens Literature, Elective Courses, Foreign Countries, English (Second Language)
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Chang, Yu-Chia; Chang, Jason S.; Chen, Hao-Jan; Liou, Hsien-Chin – Computer Assisted Language Learning, 2008
Previous work in the literature reveals that EFL learners were deficient in collocations that are a hallmark of near native fluency in learner's writing. Among different types of collocations, the verb-noun (V-N) one was found to be particularly difficult to master, and learners' first language was also found to heavily influence their collocation…
Descriptors: Sentence Structure, Verbs, Nouns, Foreign Countries
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Kumar, Vivekanandan Suresh; And Others – Computer Assisted Language Learning, 1997
Presents a situated based computer-assisted language learning system named VIDYA. The principles discussed include use of mastery learning in the situated learning context, student modeling of language constructs, dynamic courseware presentation and a generic courseware evaluation technique. Summarizes the present status of VIDYA. (24 references)…
Descriptors: Computer Assisted Instruction, Context Effect, Courseware, Databases
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Berleant, Daniel; And Others – Computer Assisted Language Learning, 1997
Describes LEARN, a software system for computer assisted foreign language vocabulary acquisition. Notes that the system processes English unrestricted text by translating selected English words in it into foreign words before presenting the text to the student. Points out that the natural path for the system's future is to add more languages. (23…
Descriptors: Ambiguity, Computational Linguistics, Computer Assisted Instruction, Computer Software
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Kita, Kenji; Ogata, Hiroaki – Computer Assisted Language Learning, 1997
Presents an efficient method for extracting collocations from corpora, which uses the cost criteria measure and a tree-based data structure. Proposes a bilingual collocation concordancer, a tool that provides language learners with collocation correspondences between a native and foreign language. (Eight references) (Author/CK)
Descriptors: Bilingualism, Computer Assisted Instruction, Cost Effectiveness, Databases
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