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Danyang Zhang; Sara Hennessy; Pascual Pérez-Paredes – Computer Assisted Language Learning, 2025
The enormous importance of second language learning, paired with the rapid development of mobile-assisted language learning, has led to the increasing use of mobile dictionaries by English as a Foreign Language (EFL) learners at Chinese universities. Although many studies have explored the role of dictionaries in English language learning, few…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Dictionaries
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
Yi-shan Shi; Chih-yung Tsai – Computer Assisted Language Learning, 2024
A number of Mobile-Assisted-Language-Learning (MALL) apps have been developed to enlarge students' vocabulary. However, few studies have discussed the potential to learn words deeply and productively. Therefore, this study evaluated the effectiveness of a mind mapping MALL app as an aid to assist northern Taiwan EFL participants in learning…
Descriptors: English (Second Language), Foreign Countries, Handheld Devices, Second Language Learning
Safiye Ipek Kuru Gönen; Gülin Zeybek – Computer Assisted Language Learning, 2024
This article describes the design and implementation of a training model on Multimodal Mobile-Assisted Language Learning (M-MALL) for EFL pre-service (PSTs) teachers. Albeit EFL teachers' positive attitude towards technology integration into language teaching, they may still lack guidance and support on how to implement mobile technologies in…
Descriptors: Handheld Devices, Telecommunications, Language Teachers, Preservice Teachers
Shortt, Mitchell; Tilak, Shantanu; Kuznetcova, Irina; Martens, Bethany; Akinkuolie, Babatunde – Computer Assisted Language Learning, 2023
More than 300 million people use the gamified mobile-assisted language learning (MALL) application (app) Duolingo. The challenging tasks, reward incentives, systematic levels, and the ranking of users according to their achievements are just some of the elements that demonstrate strong gamification elements within this popular language learning…
Descriptors: Gamification, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Zhi Quan; Lynn Grant; Darryl Hocking – Computer Assisted Language Learning, 2024
As a corpus-assisted method for language pedagogy, DDL (data-driven learning) may have the potential to enhance language exposure and promote active learner engagement. Concordancing, or KWIC (Key Words in Context), has been the traditional method used in DDL to retrieve numerous language examples, while the method has limitations with…
Descriptors: Language Patterns, Language Usage, Second Language Learning, English (Second Language)
Jiarui Hou; James F. Lee; Stephen Doherty – Computer Assisted Language Learning, 2024
Previous reading research on incidental word learning as product and process has largely employed computer- or paper-based delivery methods. The present study uses a novel combination of offline and online measures to examine the effects of mobile media (mobile phone and tablet) compared to traditional media (paper and computer) on incidental L2…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Learning
Tzu-Yu Tai – Computer Assisted Language Learning, 2024
Intelligent personal assistants (IPAs) are a valuable tool in language learning because they provide opportunities for authentic interaction. However, their effectiveness, compared with that of human interlocutors, in facilitating second and foreign language interaction has not been explored. Therefore, this study investigated the effect of IPAs…
Descriptors: Artificial Intelligence, Natural Language Processing, English (Second Language), Second Language Learning
Cheng-Yueh Jao; Hui-Chin Yeh; Wan-Rou Huang; Nian-Shing Chen – Computer Assisted Language Learning, 2024
While previous studies have focused on the outcomes of using dubbing apps to foster learner's development of English-speaking ability, this study, grounded in cognitive apprenticeship (CA), is an investigation of the learning processes, which included modeling, coaching, scaffolding, articulation, reflection, and exploration, involved in the use…
Descriptors: Video Technology, Audiovisual Aids, Audio Equipment, Translation
Yujuan Luo; Mike Watts – Computer Assisted Language Learning, 2024
This study aimed to understand the nature of learning English in the digital age from students' personal 'learning lives'. Drawing on hermeneutic phenomenology's principles, this study conducted conversational interviews and obtained reflective reports from students over 5 months. The findings reveal that students' English learning experiences are…
Descriptors: Student Experience, Handheld Devices, English (Second Language), Second Language Learning
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)
Ya-Wen Cheng; Yuping Wang; Yu-Jie Cheng; Nian-Shing Chen – Computer Assisted Language Learning, 2024
Existing research has established immense importance in contextual learning for second language development. However, to provide real-life context in the learning of a foreign language is challenging. To help create such a learning environment, our previous research developed an innovative system called the R&T System, utilizing robots (R) and…
Descriptors: Robotics, Internet, Game Based Learning, Children
Alamer, Abdullah; Al Khateeb, Ahmed – Computer Assisted Language Learning, 2023
The study of language learners' motivation has long been considered a key, determining factor of success in second/foreign language acquisition. Based on self-determination theory (SDT), the more autonomously motivated learners are, the better they engage in an activity. To sustain autonomous motivation, the learners' basic psychological needs…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Second Language Learning
Xiaoming Yang; Jie Hu – Computer Assisted Language Learning, 2024
Previous research has documented that students' reading comprehension performance in learning English as a foreign language (EFL) differs greatly between mobile-assisted and paper-based reading. The present study extends previous work by investigating whether reading cognitive load differs between mobile-assisted and paper-based EFL reading…
Descriptors: Handheld Devices, Printed Materials, Reading Achievement, Reading Comprehension
Yoshida, Reiko – Computer Assisted Language Learning, 2022
The paper examines the emotions of 15 learners of Japanese across seven weekly online text chats in Japanese with native Japanese speakers, and the factors that caused their emotions. The data came from questionnaires about the learners' biodata and previous experiences of text chats, weekly reports about their chats, transcripts of the chats, and…
Descriptors: Emotional Response, Second Language Learning, Japanese, Synchronous Communication