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Sri Dhivya; K. Gurusamy; E. Balamurali – Australian Journal of Applied Linguistics, 2024
In our modern, technology-driven, and interconnected world, providing students with strong English communication skills is essential to prepare them for the future workforce. Education 4.0 refers to the integration of advanced technologies, such as artificial intelligence (AI), virtual reality, and the Internet of Things, to enhance and…
Descriptors: Computer Oriented Programs, English for Special Purposes, Technology Uses in Education, Second Language Learning
Eman Abdel-Reheem Amin – Online Submission, 2024
The present study examined students' perception of using Artificial intelligence-powered text-to-speech apps (AI TTS Apps) to learn aspects of English language pronunciation. This investigation was conducted considering the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). To ensure participants had prior experience using AI…
Descriptors: English Language Learners, English (Second Language), Artificial Intelligence, Assistive Technology
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Bing Mei; Wenya Qi; Xiao Huang; Shuo Huang – RELC Journal: A Journal of Language Teaching and Research, 2024
Recent years have witnessed the growing presence of artificial intelligence in language learning apps. Against this backdrop, this technology review provides an overview of the affordances of Speeko and discusses its potential in developing English-as-a-foreign-language students' public speaking skills.
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Speech Communication, Speech Skills
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Mengsiying Li; Tai Wang – Education and Information Technologies, 2024
Began with Computer-Assisted Language Learning (CALL) in the 1960s and extended to the widespread use of various Mobile-Assisted Language Learning (MALL) tools in education, language learning has embraced technology early on, achieved noticeable results, and found extensive practical use. However, due to the challenges in accessing user data from…
Descriptors: Learning Strategies, Language Acquisition, Computer Oriented Programs, Educational Technology
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Laleh Fakhraee Faruji; Samira Soleimanian; Mahdieh Shafipoor – Anatolian Journal of Education, 2024
The present study investigated the effect of computer- and mobile-mediated shadowing on Iranian impulsive and reflective English as a Foreign Language (EFL) learners' speaking ability. To collect the data, 100 intermediate participants, whose proficiency level was measured by administering Oxford Quick Placement Test (OQPT), took the pretest of…
Descriptors: Computer Mediated Communication, English (Second Language), Second Language Instruction, Speech Skills
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Gutiérrez-Colón, Mar; Frumuselu, Anca Daniela; Curell, Hortènsia – Interactive Learning Environments, 2023
Mobile-assisted language learning (MALL) is a fast-developing field that is constantly growing and evolving in education. There is a lack of publications focusing on implementation studies of MALL as a means to enhance second language/foreign language (L2) reading comprehension. Building on Burston's (2013). Mobile-Assisted Language Learning: a…
Descriptors: Handheld Devices, Second Language Learning, Reading Comprehension, Program Implementation
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Benazir Quadir; Jie Chi Yang; Wei Wang – Interactive Learning Environments, 2024
Mobile technologies are widely used in education, both as standalone tools and in conjunction with other applications. The WeChat-based app Rain Classroom is one such application. Rain Classroom includes learning activities not only during class but also before and after class. Previous research has suggested strong demand for WeChat-based apps…
Descriptors: Handheld Devices, Educational Technology, Computer Oriented Programs, English (Second Language)
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Changhao Liang; Izumi Horikoshi; Rwitajit Majumdar; Brendan Flanagan; Hiroaki Ogata – Educational Technology & Society, 2023
Data-driven platforms with rich data and learning analytics applications provide immense opportunities to support collaborative learning such as algorithmic group formation systems based on learning logs. However, teachers can still get overwhelmed since they have to manually set the parameters to create groups and it takes time to understand the…
Descriptors: Automation, Grouping (Instructional Purposes), Groups, Student Characteristics
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Yating Zhang; Zhangyan Miao – European Journal of Education, 2025
This study investigates the influence of technological literacy in artificial intelligence (AI), augmented/virtual reality (AR/VR), and mobile applications on English as a Foreign Language (EFL) students' engagement and motivation in technology-enhanced classrooms. A total of 357 Chinese EFL students participated in a survey-based quantitative…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Learning Motivation
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Hanieh Shafiee Rad; Rasoul Alipour; Aliakbar Jafarpour – Interactive Learning Environments, 2024
Technology and artificial intelligence (AI) advancements are increasingly impacting second language (L2) learning, particularly in writing skills development. Motivated students seeking writing feedback can benefit from AI implementation, with writing feedback literacy being crucial for effective use. Engaged students with specific writing goals…
Descriptors: Artificial Intelligence, Writing (Composition), Feedback (Response), Literacy
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Hanieh Shafiee Rad – Innovation in Language Learning and Teaching, 2024
The emergence of artificial intelligence (AI) and AI-based applications has become increasingly significant due to its transformative potential in various fields including language learning. These applications have the potential to enhance second language (L2) learners' speaking proficiency, willingness to communicate (WTC), and perception,…
Descriptors: English (Second Language), Second Language Learning, College Students, Required Courses
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Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
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Kevin Mueller; George Hays – Vocabulary Learning and Instruction, 2022
The Global Teaching Institute (GTI) at Tokyo International University (TIU) was founded in 2013 with 10 faculty members and now in 2022 has 55 faculty members. In order to provide students with similar learning opportunities while improving and supplementing their general English vocabulary, the writers of the present paper, decided in phases,…
Descriptors: Vocabulary Development, Computer Oriented Programs, Home Study, English (Second Language)
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Yi-Ju Wu; Dorothy M. Chun – Educational Technology & Society, 2025
Although the number of studies investigating the use of immersive VR (iVR) for language learning is rapidly rising, only a few studies have examined how teachers learn to incorporate iVR into their lesson planning and how they can take advantage of the unique affordances of the medium to aid language learning. This article reports on how 50…
Descriptors: Computer Simulation, Instructional Design, Preservice Teachers, Technology Uses in Education
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Ayyüce Kurt Dizbay; Füsun Gülderen Alacapinar – Journal of Educators Online, 2024
This research investigated the effect of the use of mobile-assisted digital content on students' English lesson achievement. This study employed a quasi-experimental design with a pretest and posttest given to both an experimental group and a control group. The study consisted of 29 9th Grade students at a public school in Turkey. The pretest was…
Descriptors: Handheld Devices, Telecommunications, High School Students, Public Schools
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