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Rockey, Catherine; Tiegs, Jessica; Fernández, Julieta – CALICO Journal, 2020
In response to calls for improving the quality of DCTs as data-gathering instruments, this study investigates the effectiveness of technology-enhanced discourse completion tasks (TE-DCTs) as a method for eliciting nonverbal speaker data. We used a mobile application to administer four TE-DCTs to native speakers (L1) and intermediate and advanced…
Descriptors: Telecommunications, Handheld Devices, Task Analysis, Speech Acts
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Yanguas, Inigo – CALICO Journal, 2012
The present study adds to the computer-mediated communication (CMC) literature by exploring oral learner-to-learner interaction using Skype, a free and widely used Internet software program. In particular, this task-based study has a two-fold goal. Firstly, it explores possible differences between two modes of oral CMC (audio and video) and…
Descriptors: Video Technology, Listening Comprehension, Research Design, Computer Mediated Communication
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Cardenas-Claros, Monica S.; Gruba, Paul A. – CALICO Journal, 2010
Participatory design (PD), or the collaboration between software engineers and end users throughout the design process, may help improve CALL design practices. In this case study, four ESL learners, a software designer, and a language teacher created and evaluated a series of paper prototypes concerning help options in computer-based second…
Descriptors: Computer Software, Participative Decision Making, Second Language Learning, English (Second Language)
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Smith, Bryan – CALICO Journal, 2009
This study explores the relationship between scrolling, negotiated interaction, and self-initiated self-repair (SISR) in a task-based synchronous computer-mediated communication (SCMC) foreign language learning environment. Pairs of adult learners of German engaged in four jigsaw tasks over the course of one university semester. Video screen…
Descriptors: Computer Mediated Communication, German, Second Language Learning, College Students
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De Felice, Rachele; Pulman, Stephen – CALICO Journal, 2009
In this article, we present an approach to the automatic correction of preposition errors in L2 English. Our system, based on a maximum entropy classifier, achieves average precision of 42% and recall of 35% on this task. The discussion of results obtained on correct and incorrect data aims to establish what characteristics of L2 writing prove…
Descriptors: Language Patterns, Form Classes (Languages), Error Correction, Second Language Learning