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Yong Jik Lee; Robert O. Davis – Contemporary Educational Technology, 2024
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence
Meixiu Zhang; Mimi Li – Computer Assisted Language Learning, 2025
Reading for writing tasks have been widely implemented in past decades, but research is still scarce on computer-mediated reading for writing. With a growing interest in collaborative writing and collaborative reading, spurred on by the broader awareness of sociocultural theory and the collaborative nature of digital technologies, we proposed an…
Descriptors: Cooperative Learning, Reading Comprehension, Documentation, Educational Technology
Hanna, Louise; Barr, David – Research-publishing.net, 2022
The attitudes of student-teachers to Computer Assisted Language Learning (CALL) remains an under-explored topic in research literature. This mixed-methods study engaged student-teachers in focus group discussions at commencement and completion of Initial Teacher Education (ITE). These student-teachers were situated across England, Scotland, Wales,…
Descriptors: Student Teachers, Student Attitudes, Computer Assisted Instruction, Second Language Learning
Amina Bashir; Aamir Aziz; Muhammad Imran; Norah Almusharraf – Contemporary Educational Technology, 2025
With technological advancement, multimodality has received paramount importance in teaching and learning. Different technology-based assistance is available nowadays, and computer-assisted language learning (CALL) is one of them. It uses computer-based tools, materials, resources, and information to assist second language learning. Motivation…
Descriptors: Computer Assisted Instruction, Second Language Learning, Learning Motivation, Intention
Yen-Jung Chen; Liwei Hsu; Shao-wei Lu – Computer Assisted Language Learning, 2024
It is well known that teachers' feedback plays an important role in students' learning, as it enhances learners' cognitive development; yet there has been little research on how positive feedback given in the form of emojis works in computer-assisted language learning (CALL) courses. In this study, an experiment was designed to clarify how English…
Descriptors: Visual Aids, English (Second Language), Second Language Learning, Feedback (Response)
Qi Wang; Shengquan Yu; Xiaofeng Wang – Journal of Educational Computing Research, 2024
Chinese as a second language (CSL) learning has attracted more attention and supporting learners with adaptive resources becomes difficult. Some online systems recommended pre-designed resources from existing databases while the resources could not match learners' context. Designing resources dynamically according to learners' needs could be a…
Descriptors: Second Language Learning, Chinese, College Students, Online Systems
María de los Ángeles Gómez González; Alfonso Lago Ferreiro – Language Learning & Technology, 2024
Previous research has established that phonetics has been marginalized within language teaching, proving to be particularly challenging for learners in EFL contexts. This paper presents EPSSML (https://www.usc.gal/multimlab/), an e-learning platform designed within Mayer's (2008, 2009) Cognitive Theory of Multimedia Learning to instruct English…
Descriptors: Computer Assisted Instruction, Pronunciation, Electronic Learning, Phonetics
Hussein Meihami; Christopher Alexander – Asian-Pacific Journal of Second and Foreign Language Education, 2024
It is crucial to study how L2 learners use technology when examining the lifespan technology in L2 pedagogy. Therefore, we adopted Gartner's hype cycles to investigate the lifespan of CALL from the perspectives of EFL learners. To this end, we utilized an explanatory narrative design and gathered and analysed the perspectives of 87 EFL learners…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Rastislav Metruk – Education and Information Technologies, 2024
In recent years, learners worldwide have expressed increasing interest in mobile learning and the utilization of mobile devices for language learning purposes. However, few research synthesis studies have focused on pronunciation development in relation to employing MALL (mobile-assisted language learning). This review article contributes to the…
Descriptors: Pronunciation Instruction, Teaching Methods, Telecommunications, Handheld Devices
Yang, Xiaoming; Hu, Jie – Innovation in Language Learning and Teaching, 2023
Purpose: This research investigated college student preferences for and engagement in mobile-assisted language learning (MALL) classes and whether the level of class engagement differed among students according to class preferences. Design/methodology/approach: Using a mixed-methods approach, 115 first-year college students who were experiencing…
Descriptors: Foreign Countries, College Students, Computer Assisted Instruction, Second Language Instruction
Assim S. Alrajhi – ReCALL, 2023
This study investigates and compares the quality of Google-translated texts (GTTs) across writing genres (narrative, descriptive, expository, and persuasive) with EFL student--generated texts (SGTs), and explores students' attitudes toward Google Translate (GT) output. In a mixed-methods design with a computational approach to text analysis, this…
Descriptors: Translation, Web Sites, Internet, English (Second Language)
Jacqueline Zammit – Technology in Language Teaching & Learning, 2024
The Chat Generative Pretrained Transformer (ChatGPT) is a state-of-the-art artificial intelligence (AI) language model developed by OpenAI. It employs advanced deep-learning algorithms to generate text that mimics human language. ChatGPT, launched on November 30, 2022, has rapidly gained widespread recognition. Its influence on the future of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Learning
Kun Dou; Huzaina Abdul Halim; Mohd Rashid Mohd Saad – European Journal of Education, 2025
Despite the rapid growth of integrating language learning applications into educational settings, limited studies have reported students' continuance intention to use mobile English learning applications in the mobile-assisted language learning (MALL) context. This study extended the expectation confirmation model (ECM) with mobile self-efficacy…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Teaching Methods
Adnan Shehadeh – Anatolian Journal of Education, 2024
This study aimed to investigate students' reflections on using smartphones to enhance vocabulary learning. The sample consisted of 64 college students enrolled in required English as a Foreign Language (EFL) reading course. A twenty-two-item questionnaire was developed to elicit students' reflections on their experiences in terms of three aspects;…
Descriptors: Telecommunications, Handheld Devices, English (Second Language), Second Language Instruction
Alyssia M. Miller De Rutté – Technology, Knowledge and Learning, 2024
The field of language learning and technology is an ever-growing field as new technologies are constantly developed, and it is important to understand the impact these new technologies may have on language learning. The purpose of this work-in-progress study was to investigate the effects of virtual reality (VR) simulations on a specific second…
Descriptors: Second Language Learning, Second Language Instruction, Learning Motivation, Computer Simulation