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Showing 286 to 300 of 459 results Save | Export
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O'Rourke, Breffni – Computer Assisted Language Learning, 2008
Most research on text-based synchronous computer-mediated communication (SCMC) in language learning has used output logs as the sole data source. I review interactionist and sociocultural SCMC research, focusing in particular on the question of technological determinism, and conclude that, from whichever perspective, reliance on output logs leads…
Descriptors: Computer Mediated Communication, Computer Interfaces, Computer Assisted Instruction, Second Language Learning
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Smith, Simon – Computer Assisted Language Learning, 2011
This exploratory study describes a framework for data-driven learning (DDL), in General (non-major) English university classes, in which learners "construct" linguistic corpora instead of merely "consulting" them. Prior related work has addressed the needs of language specialists, in particular trainee translators who are…
Descriptors: Foreign Countries, Nonmajors, Qualitative Research, Glossaries
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Dickinson, Markus; Eom, Soojeong; Kang, Yunkyoung; Lee, Chong Min; Sachs, Rebecca – Computer Assisted Language Learning, 2008
Task-based synchronous computer-mediated communication (CMC) may represent an optimal psycholinguistic environment for form-meaning connections, but learners do not receive feedback from a trusted authority. Intelligent computer-assisted language learning (ICALL) provides feedback, but the encouragement of communicative interaction remains largely…
Descriptors: Feedback (Response), Computer Mediated Communication, Computer Assisted Instruction, Second Language Learning
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Chen, Liang; Tokuda, Naoyuki; Hou, Pingkui – Computer Assisted Language Learning, 2005
A simple table look-up parser (TLUP) has been developed for parsing and consequently diagnosing syntactic errors in semi-free formatted learners' input sentences of an intelligent language tutoring system (ILTS). The TLUP finds a parse tree for a correct version of an input sentence, diagnoses syntactic errors of the learner by tracing and…
Descriptors: Sentences, Physical Activities, Computer Assisted Instruction
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Chen, Liang; Tokuda, Naoyuki; Hou, Pingkui – Computer Assisted Language Learning, 2005
A simple table look-up parser (TLUP) has been developed for parsing and consequently diagnosing syntactic errors in semi-free formatted learners' input sentences of an intelligent language tutoring system (ILTS). The TLUP finds a parse tree for a correct version of an input sentence, diagnoses syntactic errors of the learner by tracing and…
Descriptors: Sentences, Physical Activities, Computer Assisted Instruction
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Harbusch, Karin; Itsova, Gergana; Koch, Ulrich; Kuhner, Christine – Computer Assisted Language Learning, 2008
We built an NLP system implementing a "virtual writing conference" for elementary-school children, with German as the target language. Currently, state-of-the-art computer support for writing tasks is restricted to multiple-choice questions or quizzes because automatic parsing of the often ambiguous and fragmentary texts produced by pupils…
Descriptors: Essays, Tests, Writing Instruction, Natural Language Processing
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Schulze, Mathias; Penner, Nikolai – Computer Assisted Language Learning, 2008
The choice of grammatical framework in ICALL--the branch of CALL that applies artificial intelligence techniques--has important implications for both research and development. Matthews (1993) argued for one "that potentially meshes with SLA (second language acquisition)" (p. 5) and sketches three criteria that facilitate the crucial…
Descriptors: Research and Development, Grammar, Artificial Intelligence, Learning Processes
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Neri, Ambra; Mich, Ornella; Gerosa, Matteo; Giuliani, Diego – Computer Assisted Language Learning, 2008
This study investigates whether a computer assisted pronunciation training (CAPT) system can help young learners improve word-level pronunciation skills in English as a foreign language at a level comparable to that achieved through traditional teacher-led training. The pronunciation improvement of a group of learners of 11 years of age receiving…
Descriptors: Second Language Instruction, Second Language Learning, Pronunciation Instruction, Computer Assisted Instruction
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Sha, Guoquan – Computer Assisted Language Learning, 2009
The aim of various approaches implemented, whether the classical "three Ps" (presentation, practice, and production) or communicative language teaching (CLT), is to achieve communicative competence. Although a lot of software developed for teaching spoken English is dressed up to raise interaction, its methodology is largely rooted in tradition.…
Descriptors: Animation, Computer Graphics, Oral Language, Criticism
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Heift, Trude – Computer Assisted Language Learning, 2008
This article describes challenges and benefits of modeling learner variability in Computer-Assisted Language Learning. We discuss the learner model of "E-Tutor," a learner model that addresses learner variability by focusing on certain aspects and/or features of the learner's interlanguage. Moreover, we introduce the concept of phrase descriptors,…
Descriptors: Computer Assisted Instruction, Systems Approach, Educational Technology, Intelligent Tutoring Systems
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Hoeflaak, Arie – Computer Assisted Language Learning, 2004
In this article, the development of a computer-assisted listening comprehension project is described. First, we comment briefly on the points of departure, the need for autonomous learning against the background of recent changes in Dutch education, and the role of learning strategies. Then, an error analysis, the programs used for this project,…
Descriptors: Listening Comprehension, Learning Strategies, Computer Assisted Instruction
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Kessler, G.; Plakans, L. – Computer Assisted Language Learning, 2008
This paper examines the relationship between confidence and CALL--specifically the use of audio and video technology among language teachers. Through logged usage of CALL, the authors tracked seven teachers at two large universities in the United States over a term. These teachers were also interviewed periodically in order to gain insight into…
Descriptors: Universities, Data Analysis, Teacher Attitudes, Computer Assisted Instruction
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Varley, Steve – Computer Assisted Language Learning, 2009
Corpus consultation is gaining in prominence as a language learning tool. This approach to language analysis has made its way into the language classroom where its presence ranges from the presentation of printed concordance data with accompanying tasks to the direct use of concordancing software by learners themselves to carry out analyses of…
Descriptors: Vocabulary Development, English (Second Language), Class Activities, Second Language Instruction
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Tsutsui, Michio – Computer Assisted Language Learning, 2004
Interactive feedback, the most common feedback method for oral performance, cannot be used in activities that do not allow for instructor-student interaction, such as speeches and presentations, where feedback should occur after the performance. The conventional ways of providing post-performance or delayed feedback, however, are neither efficient…
Descriptors: Educational Technology, Feedback, Computer Software, Computer Assisted Instruction
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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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