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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
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
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
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
Ward, Nigel G.; Escalante, Rafael; Al Bayyari, Yaffa; Solorio, Thamar – Computer Assisted Language Learning, 2007
Good listeners generally produce back-channel feedback, that is, short utterances such as "uh-huh" which signal active listening. As the rules governing back-channeling vary from language to language, second-language learners may need help acquiring this skill. This paper is an initial exploration of how to provide this. It presents a training…
Descriptors: Semitic Languages, Listening Skills, Feedback (Response), Auditory Stimuli
Byrne, Timothy – Computer Assisted Language Learning, 2007
Many teachers today use Learning Management Systems (LMS), several of which are open-source. Specific examples are Claroline and Moodle. However, they are not specifically designed for language learning, and hence not entirely suitable. In this article, I will compare two uses of the Claroline LMS available at Louvain-la-Neuve within the framework…
Descriptors: Management Systems, Computer Software, Computer Assisted Instruction, Second Language Instruction
Peer reviewedMeskill, Carla – Computer Assisted Language Learning, 1996
Explores the possibilities of students using the computer as an invention tool as part of their second-language learning. Students studying English as a second language created associative poems and prose using computer-based tools; they were then asked to reflect upon the relationship between the creative process in which they engaged and the…
Descriptors: Adult Students, Associative Learning, Class Activities, Communicative Competence (Languages)

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