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Cowan, Ron; Choo, Jinhee; Lee, Gabseon Sunny – Language Learning & Technology, 2014
This study illustrates how a synergy of two technologies--Intelligent Computer-Assisted Language Learning (ICALL) and corpus linguistic analysis--can produce a lasting improvement in L2 learners' ability to edit persistent grammatical errors from their writing. A large written English corpus produced by Korean undergraduate and graduate students…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
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Sauro, Shannon – Language Learning & Technology, 2009
This paper reports on a study that investigated the impact of two types of computer-mediated corrective feedback on the development of adult learners' L2 knowledge: (1) corrective feedback that reformulates the error in the form of recasts, and (2) corrective feedback that supplies the learner with metalinguistic information about the nature of…
Descriptors: Feedback (Response), Error Correction, Computer Assisted Instruction, Second Language Learning
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Ayoun, Dalila – Language Learning & Technology, 2000
Studied second language acquisition (SLA) designed with Web-based elicitation tasks to obtain greater internal and external validity. Tested the acquisition of the properties subsumed under the verb movement parameter and the null subject parameter by English native speakers enrolled in college French. (Author/VWL)
Descriptors: College Students, English, French, Grammar
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Lee, Lina – Language Learning & Technology, 2004
In this paper, I discuss a network-based collaborative project that focused on the learning conditions non-native speakers (NNSs) of Spanish perceived to be necessary to satisfactoraly communicate with native speakers (NSs). Data from online discussions, end-of-semester surveys, and final oral interviews are presented and discussed. The results of…
Descriptors: Student Motivation, Age Differences, Interaction, Native Speakers