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Chen, Xiaobin; Meurers, Detmar – Computer Assisted Language Learning, 2019
How can we identify authentic reading material that matches the learner's proficiency and fosters their language development? Traditionally, this involves assigning a one-dimensional label to the text that identifies the grade or proficiency level of the learners that the text is intended for. Such an approach is inadequate given that both the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Language Proficiency, Readability
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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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Slavuj, Vanja; Meštrovic, Ana; Kovacic, Božidar – Computer Assisted Language Learning, 2017
Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Intelligent Tutoring Systems
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Bertin, Jean-Claude; Narcy-Combes, Jean-Paul – Computer Assisted Language Learning, 2012
This article builds on a previous article published in 2007, which aimed at clarifying the concept of tutoring. Based on a new epistemological stance (emergentism) the authors will here show how the various components of the computer-assisted language learning situation form a complex chaotic system. They advocate that modelling is a way of…
Descriptors: Tutoring, Computer Assisted Instruction, Models, Systems Approach
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Cerezo, Luis; Baralt, Melissa; Suh, Bo-Ram; Leow, Ronald P. – Computer Assisted Language Learning, 2014
Currently, an increasing number of educational institutions are redefining second/foreign language (L2) classrooms by enhancing--or even replacing--traditional face-to-face (FTF) instruction with computer-assisted language learning (CALL). However, are these curricular decisions supported by research? Overall, a cursory review of empirical studies…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Teaching Methods
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Choi, Inn-Chull – Computer Assisted Language Learning, 2016
A Web-based form-focused intelligent computer-assisted language learning (ICALL) tutoring system equipped with a process-oriented corrective feedback function was developed to investigate the extent to which such a program may serve as a viable method of teaching grammar to Korean secondary and elementary students. The present study was also…
Descriptors: Instructional Effectiveness, Computer Assisted Instruction, Intelligent Tutoring Systems, English (Second Language)
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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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Esit, Omer – Computer Assisted Language Learning, 2011
This study investigated the effectiveness of an intelligent computer-assisted language learning (ICALL) program on Turkish learners' vocabulary learning. Within the scope of this research, an ICALL application with a morphological analyser (Your Verbal Zone, YVZ) was developed and used in an English language preparatory class to measure its…
Descriptors: Control Groups, Computer Assisted Instruction, Educational Technology, Vocabulary Development
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Wood, Peter – Computer Assisted Language Learning, 2008
This article discusses the use of the General Architecture for Text Engineering (GATE) as a tool for the development of ICALL and NLP applications. It outlines a paradigm shift in software development, which is mainly influenced by projects such as the Free Software Foundation. It looks at standards that have been proposed to facilitate the…
Descriptors: Computer Software, Natural Language Processing, Technological Advancement, Computer Assisted Instruction
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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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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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Dekhinet, Rayenne – Computer Assisted Language Learning, 2008
This study investigates the value of online enhanced corrective feedback for non-native speakers of English from (1) the quality of their interaction online, (2) their perceptions, and (3) the challenges encountered. Online enhanced feedback is an online peer tutoring technique that was developed from Negotiated Meaning and used by native speakers…
Descriptors: Peer Teaching, Native Speakers, English (Second Language), Tutoring
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Stockwell, Glenn – Computer Assisted Language Learning, 2007
Mobile learning has long been identified as one of the natural directions in which CALL is expected to move, and as smaller portable technologies become less expensive, lighter and more powerful, they have the potential to become a more integral part of language learning courses as opposed to the more supplemental role often assigned to computer…
Descriptors: Intelligent Tutoring Systems, English (Second Language), Second Language Learning, Telecommunications
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Heins, Barbara; Duensing, Annette; Stickler, Ursula; Batstone, Carolyn – Computer Assisted Language Learning, 2007
While interaction in online language learning in the area of written computer-mediated communication is well researched, studies focusing on interaction in synchronous online audio environments remain scarce. For this reason, this paper seeks to map the nature and level of interpersonal interaction in both online and the face-to-face language…
Descriptors: Student Participation, Interpersonal Communication, Open Universities, Computer Mediated Communication
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Danna, Frederic; Sebillot, Pascale – Computer Assisted Language Learning, 1997
Focuses on student modeling within an Intelligent Tutoring System. Describes three domain-independent properties that the formalism representing student knowledge and the processes synthesizing this knowledge must possess to build accurate student models for second-language learning. Notes when, how, and where hypothetical reasoning mechanisms…
Descriptors: Ambiguity, Cognitive Processes, Computer Assisted Instruction, Concept Formation
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