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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
Rui Li – Language Learning & Technology, 2024
Despite the growing body of research regarding the effectiveness of MALL (mobile-assisted language learning) technologies on foreign language (FL) learners' speaking skill development, a comprehensively quantitative meta-analysis regarding the effect sizes of these studies is still lacking. To solve the problem, this study reported results based…
Descriptors: Oral Language, Skill Development, Speech Communication, Second Language Instruction
Chun, Dorothy M. – Language Learning & Technology, 2016
In this review article for the 20th Anniversary Issue, I look back at research from the last two decades on the role of computer technology in understanding and facilitating second language acquisition (SLA) and forward to what future research might investigate. To be discussed are both how technology has been used to conduct research on SLA…
Descriptors: Second Language Learning, Language Research, Influence of Technology, Computer Assisted Instruction
Lin, Huifen – Language Learning & Technology, 2015
This meta-analysis reports the results of a systematic synthesis of primary studies on the effectiveness of computer-mediated communication (CMC) in second language acquisition (SLA) for the period 2000-2012. By extracting information on 21 features from each primary study, this meta-analysis intends to summarize the CMC research literature for…
Descriptors: Computer Mediated Communication, Second Language Learning, Meta Analysis, Effect Size

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