NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Computer Assisted Language…62
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 62 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Yamashita, Taichi – Computer Assisted Language Learning, 2019
The present quasi-experimental study investigated the comparative effects of metalinguistic clue (MC) and metalinguistic explanation (ME) on the accurate use of Japanese transaction expressions. The study recruited 25 learners in a second-semester Japanese course (i.e. non-introduced group) and 17 students in a fourth-semester course (i.e.…
Descriptors: Cues, Metalinguistics, Prior Learning, Oral Language
Peer reviewed Peer reviewed
Direct linkDirect link
Bolgün, M. Ali; McCaw, Tatiana – Computer Assisted Language Learning, 2019
With the ever-increasing number of available language technology products, there is also a need to evaluate them objectively. Unsubstantiated beliefs about what language technology can and cannot do inside or outside the language classroom often influence decisions about the choice of language technology to be used. The declarative/procedural…
Descriptors: Neurosciences, Second Language Learning, Second Language Instruction, Metalinguistics
Peer reviewed Peer reviewed
Direct linkDirect link
Paul, Jing Z.; Friginal, Eric – Computer Assisted Language Learning, 2019
This study investigated the effects of Facebook and Twitter on foreign language (Chinese) learners' written production in both short- (10 days) and long-term (50 days) pseudo-experimental settings. Adopting two concepts (i.e. symmetric vs. asymmetric) from matrix theory in social network analysis, we categorized Facebook as a symmetric social…
Descriptors: Social Networks, Second Language Learning, Network Analysis, Sentences
Peer reviewed Peer reviewed
Direct linkDirect link
Youngs, Bonnie L.; Prakash, Akhil; Nugent, Rebecca – Computer Assisted Language Learning, 2018
Logged tracking data for online courses are generally not available to instructors, students, and course designers and developers, and even if these data were available, most content-oriented instructors do not have the skill set to analyze them. Learning analytics, mined from logged course data and usually presented in the form of learning…
Descriptors: Online Courses, French, Second Language Learning, Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Yu-Fen – Computer Assisted Language Learning, 2018
This study reports on how students construct new language knowledge by indirect feedback in web-based collaborative writing. Indirect feedback (text organization, reader-based perspectives, and clarity of purpose) encourages students to negotiate meaning instead of merely copying peers' direct feedback on grammatical corrections. According to the…
Descriptors: Feedback (Response), Collaborative Writing, Questionnaires, Language Proficiency
Peer reviewed Peer reviewed
Direct linkDirect link
Ranalli, Jim – Computer Assisted Language Learning, 2018
Automated written corrective feedback (AWCF) has qualities that distinguish it from teacher-provided WCF and potentially undermine claims about its value for L2 student writers, including disparities in the amounts of useful information it provides across error types and the fact that inaccuracies in error-flagging must be anticipated. It remains…
Descriptors: Error Correction, Feedback (Response), Computer Assisted Instruction, Second Language Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Liakin, Denis; Cardoso, Walcir; Liakina, Natallia – Computer Assisted Language Learning, 2017
We examine the impact of the pedagogical use of mobile TTS on the L2 acquisition of French liaison, a process by which a word-final consonant is pronounced at the beginning of the following word if the latter is vowel-initial (e.g. peti/t.a/mi = > peti[ta]mi "boyfriend"). The study compares three groups of L2 French students learning…
Descriptors: French, Second Language Learning, Second Language Instruction, Control Groups
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Xu, Qi; Peng, Hongying – Computer Assisted Language Learning, 2017
This article reports on an exploratory study investigating mobile-assisted oral feedback in teaching Chinese as a second language (CSL). It is aimed at exploring the characteristics of mobile-assisted feedback on oral production with the smartphone social communication app WeChat as a case in point and examining learners' perceptions of…
Descriptors: Oral Language, Feedback (Response), Chinese, Second Language Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Kohn, Kurt; Hoffstaedter, Petra – Computer Assisted Language Learning, 2017
This article discusses insights gained from a case study on telecollaboration for intercultural communication in foreign language school contexts. Focus was on non-native English and German lingua franca conversations between pairs of students (aged 14-16, B1 level) from schools in France, Germany, the Netherlands and Spain. Telecollaboration…
Descriptors: Video Technology, Foreign Countries, Case Studies, Intercultural Communication
Peer reviewed Peer reviewed
Direct linkDirect link
Chang, Jia-Wei; Lee, Ming-Che; Su, Chien-Yuan; Wang, Tzone-I – Computer Assisted Language Learning, 2017
Chinese as a foreign language (CFL) learners generally encounter difficulty in using some special rules of Chinese grammar because such grammar points do not exist in their native languages. CFL learners require an effective learning strategy to assist them in acquiring a greater understanding of Chinese grammar. Thus, we integrated a…
Descriptors: Web Based Instruction, Chinese, Grammar, Sentence Structure
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Rassaei, Ehsan – Computer Assisted Language Learning, 2017
This study investigated the effects of two modes of corrective feedback, namely, face-to-face recasts and computer-mediated recasts during video-conferencing on Iranian English as a foreign language (EFL) learners' second language (L2) development. Moreover, the accuracy of the learners' interpretations of recasts in the two modalities was…
Descriptors: English (Second Language), Second Language Learning, Indo European Languages, Native Language
Peer reviewed Peer reviewed
Direct linkDirect link
Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Tsuiping – Computer Assisted Language Learning, 2016
Some studies on technology-supported peer feedback in the writing classroom claim that it reduces the threatening atmosphere caused by face-to-face interaction and that the discourse patterns and language use in the electronic feedback are more flexible than in spoken discourse. Others present a negative view that the comments generated from…
Descriptors: English (Second Language), Second Language Learning, Feedback (Response), Computer Assisted Instruction
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5