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Direct linkHansol 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
Mustafa Senel – Journal on School Educational Technology, 2025
Artificial Intelligence (AI) technologies are increasingly being integrated into educational processes, offering various benefits to students, educators, and education systems. This study employs a meta-analysis approach to examine research conducted in Turkey on the use of AI in English as a Foreign Language (EFL) instruction and compares the…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, English (Second Language)
Sara Cotelli Kureth; Elisabeth Paliot; Suzana Zink – Language Learning in Higher Education, 2025
This article analyses a specific strategy designed to include generative artificial intelligence (GenAI) tools in students' written assignments. While we recognise that GenAI tools represent a challenge for teachers in terms of their classroom use and the development of digital literacy among students, we believe that banning them is not a viable…
Descriptors: Artificial Intelligence, Computer Software, Digital Literacy, Technology Integration
Runtong He; De Dong – International Journal of Adult Education and Technology, 2024
With the enhancement of internet medium and development of science and technology, interactive technologies have gradually emerged in the field of language education. However, previous empirical studies and meta-analyses have focused on the impact of specific types of technologies. Therefore, this study aims to comprehensively synthesize the…
Descriptors: Meta Analysis, Second Language Learning, Second Language Instruction, Teaching Methods
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
Mohsen, Mohammed Ali – Journal of Educational Computing Research, 2022
Written corrective feedback for improving L2 writing skills has been a debatable issue for more than two decades. The aims of this meta-analysis are to (1) provide a quantitative measure of the effect of computer-generated written feedback for improving L2 writing skills and (2) verify how moderators (i.e., adopted technology, task types, and…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Zhai, Na; Ma, Xiaomei – Journal of Educational Computing Research, 2023
Automated writing evaluation (AWE) has been frequently used to provide feedback on student writing. Many empirical studies have examined the effectiveness of AWE on writing quality, but the results were inconclusive. Thus, the magnitude of AWE's overall effect and factors influencing its effectiveness across studies remained unclear. This study…
Descriptors: Writing Evaluation, Feedback (Response), Meta Analysis, English (Second Language)
Özer, Seda; Akay, Cenk – Journal on School Educational Technology, 2023
Mobile Assisted Language Learning (MALL) is an innovative approach to language learning that utilizes mobile devices, such as smartphones and tablets, to support language learning. MALL has become increasingly popular in recent years due to the widespread availability of mobile devices and the flexibility they offer for language learning. The aim…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Handheld Devices
Daly, Nigel P. – Language Learning & Technology, 2022
The road to second language competence is a long and arduous one, and much of its effort involves learning to recognize and use vocabulary. Fortunately, anytime-anywhere learning with smart phones and smart apps offer a means to lessen the burden and make vocabulary learning more efficient. Accordingly, this study investigated 134 students across…
Descriptors: Personal Autonomy, Independent Study, Computer Assisted Instruction, Language Tests
Lin, Jen-Jiun; Lin, Huifen – Computer Assisted Language Learning, 2019
Mobile-assisted language learning (MALL) has been a popular research area in recent years in the SLA field, as it has been considered as being able to facilitate language learning by offering an authentic, socially connective, contextually sensitive, and personalized mobile-mediated language learning environment. To investigate the benefits and…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Handheld Devices
Download full textAyan, Erdal; Demirel, Elif – International Journal of Curriculum and Instruction, 2017
Owing to new advances in language teaching methodologies and integration of high technology tools as well as web applications, much scientific research has been recently published on English language teaching (ELT) and learning (ELL). Yet it is still a significant question to investigate exactly what types of research topics are mostly studied…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Technology Integration
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.; Kommers, Piet, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…
Descriptors: Electronic Learning, Online Courses, Teaching Methods, Information Literacy
