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Tanjun Liu; Dana Gablasova – Computer Assisted Language Learning, 2025
Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…
Descriptors: Phrase Structure, Learning Analytics, English (Second Language), Second Language Instruction
Jiarui Hou; James F. Lee; Stephen Doherty – Computer Assisted Language Learning, 2024
Previous reading research on incidental word learning as product and process has largely employed computer- or paper-based delivery methods. The present study uses a novel combination of offline and online measures to examine the effects of mobile media (mobile phone and tablet) compared to traditional media (paper and computer) on incidental L2…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Learning
Chengyuan Jia; Khe Foon Hew; Mingting Li – Computer Assisted Language Learning, 2025
Listening is a major challenge for many English-as-a-foreign language (EFL) learners. Decoding training, which helps learners develop the ability to recognize words from speech, is frequently used to assist EFL learners. Although recent empirical studies on decoding training have provided positive evidence on its effectiveness in improving EFL…
Descriptors: Flipped Classroom, Second Language Learning, Second Language Instruction, Teaching Methods
Intercultural Learning through Chinese-American Telecollaboration: Results of a Song Sharing Project
Han Luo; Pan Gao – Computer Assisted Language Learning, 2024
This study reports on the results of a semester-long Chinese-American telecollaborative exchange via WeChat, in which students from China and the U.S. shared thematically similar songs in their respective languages and discussed relevant cultural topics that were suggested by the students. Various types of qualitative data collected from the…
Descriptors: Computer Mediated Communication, Intercultural Communication, Computer Software, Group Discussion
Goh, Tiong-Thye; Sun, Hui; Yang, Bing – Computer Assisted Language Learning, 2020
This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…
Descriptors: Essays, Writing Tests, English (Second Language), Second Language Learning
Hsieh, Yi Chin – Computer Assisted Language Learning, 2017
Collaborative learning has been widely applied in education, and has been seen as conducive to student learning. The advent of technology and its applications in education have also greatly enhanced the classroom learning environment, leading to increasing research attention on the combination of technology and collaboration. The case study…
Descriptors: Cooperative Learning, English (Second Language), Second Language Learning, Second Language Instruction
Chou, I-Chia – Computer Assisted Language Learning, 2016
As electronic books continue to attract attention as a pedagogical tool in language classrooms, the impact that e-books are expected to have on higher education cannot be ignored. Despite the pervasiveness of e-book reading studies in higher education, most studies show that students' reactions to e-books are often negative. However, the effects…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Student Attitudes
Linking Adverbials in First-Year Korean University EFL Learners' Writing: A Corpus-Informed Analysis
Ha, Myung-Jeong – Computer Assisted Language Learning, 2016
This study examines the frequency and usage patterns of linking adverbials in Korean students' essay writing in comparison with native English writing. The learner corpus used in the present study is composed of 105 essays that were produced by first-year university students in Korea. The control corpus was taken from the American LOCNESS…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Asians
Lai, Chun; Shum, Mark; Tian, Yan – Computer Assisted Language Learning, 2016
Enhancing self-directed use of technology for language learning is essential for maximizing the potential of technology for language learning. Understanding how to construct learner training to promote this critical competency is of great significance. This study examined the effectiveness of an online training platform aimed at enhancing the…
Descriptors: Independent Study, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Chen, M.-H.; Huang, S.-T.; Chang, J. S.; Liou, H.-C. – Computer Assisted Language Learning, 2015
Paraphrasing, or restating information using different words, is critical to successful writing. However, EFL learners have difficulty in making paraphrases to meet their writing demands, and there has been little research on developing automatic reference tools to assist these learners' paraphrasing skills for better writing quality. In this…
Descriptors: English (Second Language), Second Language Learning, Computational Linguistics, Dictionaries
Matthews, Joshua; O'Toole, John Mitchell – Computer Assisted Language Learning, 2015
The ability to recognise words from the aural modality is a critical aspect of successful second language (L2) listening comprehension. However, little research has been reported on computer-mediated development of L2 word recognition from speech in L2 learning contexts. This report describes the development of an innovative computer application…
Descriptors: Second Language Learning, Second Language Instruction, Word Recognition, Linguistic Input
Lee, Cynthia; Yeung, Alexander Seeshing; Ip, Tiffany – Computer Assisted Language Learning, 2016
Computer technology provides spaces and locales for language learning. However, learning style preference and demographic variables may affect the effectiveness of technology use for a desired goal. Adapting Reid's pioneering Perceptual Learning Style Preference Questionnaire (PLSPQ), this study investigated the relations of university students'…
Descriptors: Technology Uses in Education, Computer Uses in Education, Cognitive Style, Higher Education
Bower, Jack Victor; Rutson-Griffiths, Arthur – Computer Assisted Language Learning, 2016
A strong relationship between L2 vocabulary knowledge and L2 reading and listening comprehension is well established. However, less research has been conducted to explore correlations between pedagogic interventions to increase vocabulary knowledge and score gains on standardized L2 proficiency tests. This study addresses this gap in the research…
Descriptors: Correlation, Computer Software, Scores, Language Tests
Yang, Yu-Fen – Computer Assisted Language Learning, 2016
Recognizing that graduate students seldom have the opportunity to participate collaboratively, either in providing or receiving feedback to improve their academic writing skills, this study reports on the design of a computer-supported collaborative learning (CSCL) system used to investigate how graduate students transform and construct their…
Descriptors: Peer Evaluation, Feedback (Response), Writing Processes, Graduate Students
Yen, Yen-Chen; Hou, Huei-Tse; Chang, Kuo En – Computer Assisted Language Learning, 2015
English as a foreign language (EFL) instruction faces many challenges in Asia because of many cultural and environmental factors, such as the lack of interactive speaking environments, emphasis placed on test scores, and foreign language anxiety. The purpose of this research is to conduct an EFL instructional course by integrating Facebook…
Descriptors: Role Playing, English (Second Language), Second Language Learning, Content Analysis
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