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Eryigit, Gülsen; Bektas, Fatih; Ali, Ubey; Dereli, Bihter – Computer Assisted Language Learning, 2023
Grammatical information, embedded at the word level, makes the acquisition of morphologically rich languages quite complex as well as the language exercise generation process for teachers. This study introduces a new gamification approach for complex morphology learning and aims to analyze the students' perceptions towards it. In this approach,…
Descriptors: Grammar, Morphology (Languages), Gamification, Student Attitudes
Elaish, Monther M.; Shuib, Liyana; Hwang, Gwo-Jen; Ghani, Norjihan Abdul; Yadegaridehkordi, Elaheh; Zainuddin, Siti Zaidah – Computer Assisted Language Learning, 2023
Technology-mediated learning has become a valuable tool, especially in the English language classroom. Nowadays, mobile learning is considered a significant educational tool for promoting education among learners. Several recent studies have attempted to examine different aspects of mobile learning. The size of the experimental group, and the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
Effect of Game-Based, Social Media, and Classroom-Based Instruction on the Learning of Phrasal Verbs
Roohani, Ali; Heidari Vincheh, Maryam – Computer Assisted Language Learning, 2023
Mobile-assisted language learning (MALL), which provides access to learning without the constraints of place and time, is worthy of exploration for pedagogical purposes. Given the use of gaming applications and social media as potential instructional methods for MALL, this study investigated the effect of these two methods, along with traditional…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Game Based Learning
Dai, Yuanjun; Wu, Zhiwei – Computer Assisted Language Learning, 2023
Although social networking apps and dictation-based automatic speech recognition (ASR) are now widely available in mobile phones, relatively little is known about whether and how these technological affordances can contribute to EFL pronunciation learning. The purpose of this study is to investigate the effectiveness of feedback from peers and/or…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
Barrett, Neil E.; Liu, Gi-Zen; Wang, Hei-Chia – Computer Assisted Language Learning, 2022
This study investigated student perceptions and opinions on an English Oral Presentation Application (EOPA), a mobile learning application designed to assist English learners develop oral presentations and online collaboration skills. This study was part of a Design Based Research (DBR) project which incorporated an adapted Technology Acceptance…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Oral Language
Tai, Tzu-Yu; Chen, Howard Hao-Jan; Todd, Graeme – Computer Assisted Language Learning, 2022
VR technology allows learners to access simulated, immersive and interactive virtual environments to perform authentic learning activities. In particular, VR has emerged as a valuable tool for L2 learning. However, VR research has tended to pay more attention to desktop-based VR than to VR via mobile-rendered HMDs, leaving the potentials of VR…
Descriptors: Computer Simulation, Educational Technology, English (Second Language), Second Language Learning
Wu, Mei-Hung – Computer Assisted Language Learning, 2021
The rise of augmented reality hits the world of Information, Communication and Technology which brings about the booming phenomenon of mobile games. One of hot mobile game with the successful application of augmented reality is "Pokémon Go," issued in August 2016. The uses of augmented reality not only give the gamers a new kind…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Computer Games
Lin, Chih-Chung; Lin, Vivien; Liu, Gi-Zen; Kou, Xiaojing; Kulikova, Alena; Lin, Wenling – Computer Assisted Language Learning, 2020
Little review research has been conducted to describe the interaction and inter-relationships among components of reading development facilitated through mobile assisted language learning (MALL). The language learners, mediation via mobile devices, learning context, learning material and tasks, and learning outcomes need to be carefully examined…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Educational Technology
García Botero, Gustavo; Questier, Frederik; Zhu, Chang – Computer Assisted Language Learning, 2019
Can mobile-assisted language learning (MALL) foster self-directed learning outside the classroom? This article examines informal, out-of-class engagement with a MALL tool: Duolingo. After being invited to use Duolingo, 118 higher education language students agreed to have their activity in the application tracked. In addition to the data collected…
Descriptors: Telecommunications, Handheld Devices, College Students, Educational Technology
Zhonggen, Yu; Ying, Zhu; Zhichun, Yang; Wentao, Chen – Computer Assisted Language Learning, 2019
After working with a number of scholars for two years, a university designed a mobile learning platform referred to as 'College English IV,' where learners could have easy access to various kinds of learning resources through installing the program in their smart phones. This study aims to identify whether this platform could significantly improve…
Descriptors: Student Satisfaction, Cognitive Processes, Difficulty Level, Telecommunications
Seibert Hanson, Aroline E.; Brown, Christina M. – Computer Assisted Language Learning, 2020
We tested the effectiveness of the spaced-repetition flashcard application, Anki, on improving 62 university-level learners' second language (L2) learning in a semester-long beginning Spanish course. Using effective study strategies is critical for L2 learning, but college students learning an L2 often study with strategies that are only useful…
Descriptors: Second Language Instruction, Second Language Learning, Spanish, College Students
Shadiev, Rustam; Hwang, Wu-Yuin; Huang, Yueh-Min – Computer Assisted Language Learning, 2017
We reviewed literature from 2007 to 2016 (March) on mobile language learning in authentic environments. We aimed to understand publications' trend, research focus, technology used, methodology, and current issues. Our results showed that there was increasing trend in the publications. Students' perceptions towards mobile learning technologies and…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Student Attitudes
Ko, Myong-Hee – Computer Assisted Language Learning, 2017
This study compared learner perspectives regarding using PCs and smartphones as learning devices. A total of 167 Korean university students completed online assignments designed to maximize interaction with these devices. The assignments required students to submit their responses regarding assigned reading passages for a semester. Then they…
Descriptors: Foreign Countries, Student Attitudes, Technology Uses in Education, Educational Technology
Wrigglesworth, Jonathan; Harvor, Finn – Computer Assisted Language Learning, 2018
This study examined how Korean university students, majoring in English interpretation and translation, used their smartphones to meet their language learning needs. We surveyed 241 students on their smartphone use in four conditions: overall use, use related to coursework, use in English related to coursework, and use in English not related to…
Descriptors: Foreign Countries, College Students, Telecommunications, Handheld Devices
Dashtestani, Reza – Computer Assisted Language Learning, 2016
In recent years, students have shown growing interest in mobile learning and the use of mobile devices for learning English as a foreign language (EFL). However, it appears that further research needs to be undertaken to identify students' use of mobile devices and their attitudes towards them, especially in developing countries. To achieve this…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Technology Uses in Education
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