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Bodnar, Stephen; Cucchiarini, Catia; Penning de Vries, Bart; Strik, Helmer; van Hout, Roeland – Computer Assisted Language Learning, 2017
Although corrective feedback (CF) has received much interest in the second language acquisition literature, relatively little research has investigated the relationship between CF and learner affect in concrete practice situations. The present study investigates learners' affective states and practice behaviour in a novel context: oral grammar…
Descriptors: Computer Assisted Instruction, Teaching Methods, Feedback (Response), Second Language Learning
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de Vries, Bart Penning; Cucchiarini, Catia; Bodnar, Stephen; Strik, Helmer; van Hout, Roeland – Computer Assisted Language Learning, 2015
Speaking practice is important for learners of a second language. Computer assisted language learning (CALL) systems can provide attractive opportunities for speaking practice when combined with automatic speech recognition (ASR) technology. In this paper, we present a CALL system that offers spoken practice of word order, an important aspect of…
Descriptors: Grammar, Computer Assisted Instruction, Feedback (Response), Error Correction
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Huang, Zhifeng; Nagata, Ayanori; Kanai-Pak, Masako; Maeda, Jukai; Kitajima, Yasuko; Nakamura, Mitsuhiro; Aida, Kyoko; Kuwahara, Noriaki; Ogata, Taiki; Ota, Jun – IEEE Transactions on Learning Technologies, 2014
This paper describes the construction and evaluation of a self-help skill training system for assisting student nurses in learning skills involving the transfer of patients from beds to wheelchairs. We have proposed a feedback method that is based on a checklist and video demonstrations. To help trainees efficiently check their performance and…
Descriptors: Nursing Education, Control Groups, Experimental Groups, Video Technology
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Lu, Hui-Chuan; Chu, Yu-Hsin; Chang, Cheng-Yu – JALT CALL Journal, 2013
Compared with English learners, Spanish learners have fewer resources for automatic error detection and revision and following the current integrative Computer Assisted Language Learning (CALL), we combined corpus-based approach and CALL to create the System of Error Detection and Revision Suggestion (SEDRS) for learning Spanish. Through…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Engwall, Olov; Balter, Olle – Computer Assisted Language Learning, 2007
The aim of this paper is to summarise how pronunciation feedback on the phoneme level should be given in computer-assisted pronunciation training (CAPT) in order to be effective. The study contains a literature survey of feedback in the language classroom, interviews with language teachers and their students about their attitudes towards…
Descriptors: Second Language Learning, Second Language Instruction, Pronunciation, Language Teachers
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Jacobs, Gabriel; Rodgers, Catherine – CALICO Journal, 1999
Discusses the use of a French computerized grammar checker as a learning and teaching resource. Presents the results of a controlled series of experiments in which groups of students were given the task of correcting French texts containing grammatical, lexical, and orthographical errors using an on-screen grammar checker or grammar books and…
Descriptors: Business Communication, College Students, Computer Assisted Instruction, Dictionaries
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Yang, Jie Chi; Akahori, Kanji – Computer Assisted Language Learning, 1999
Compares two Web-based systems. The Japanese writing computer-assisted language-learning system, the T system, enables learners to key-in sentences freely, detects learners' errors and displays appropriate feedback messages to guide learners to correct errors themselves. The M system enables learners to input their answer from a multiple selection…
Descriptors: Comparative Analysis, Computer Assisted Instruction, Error Correction, Feedback
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Tsubota, Yasushi; Dantsuji, Masatake; Kawahara, Tatsuya – ReCALL, 2004
We have developed an English pronunciation learning system which estimates the intelligibility of Japanese learners' speech and ranks their errors from the viewpoint of improving their intelligibility to native speakers. Error diagnosis is particularly important in self-study since students tend to spend time on aspects of pronunciation that do…
Descriptors: Pronunciation, Second Language Learning, Identification, Profiles