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Showing 1 to 15 of 65 results Save | Export
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Lee, Cynthia – Computer Assisted Language Learning, 2020
The aim of this article is to reveal the ways in which six 14- to 15-year-old second language (L2) learners, two each of high, mid, and low English proficiency levels were cognitively engaged in writing while using an automated content feedback program known as the Essay Critiquing System 2.0 in three out of five workshops in a Hong Kong secondary…
Descriptors: Adolescents, Automation, Feedback (Response), Computer Assisted Instruction
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Ma, Qing – Computer Assisted Language Learning, 2020
This study investigated how one type of learner-generated information and content, i.e. inter-group peer online feedback, provided on a wiki writing assignment for an English for Academic Purposes (EAP) course, could contribute to student L2 writing. Using a mixed method approach, more than 1000 entries of online peer comments were collected,…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Collaborative Writing
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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
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Ko, Myong-Hee – Computer Assisted Language Learning, 2019
The present study examined students' perspectives on using smartphones and social media to fill a lacuna in mobile-assisted feedback in L2 vocabulary learning. As part of a vocabulary-building activity, 208 undergraduate students in Korea drafted sentences incorporating target vocabulary taught by their instructor and uploaded their sentences to a…
Descriptors: Handheld Devices, Telecommunications, Social Media, Vocabulary Development
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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
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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
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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
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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
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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
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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
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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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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
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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
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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
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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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