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Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Boggio, Cynthia; Zaher, Ahmed; Bosse, Marie-Line – British Journal of Educational Technology, 2023
The present study assessed the effectiveness of the ECRIMO educational application designed to build first-grade level spelling skills. We tested whether using the app to teach spelling would be as effective as providing the same training using traditional paper exercises. The effect of integrating gamification into mobile learning apps, which has…
Descriptors: Grade 1, Elementary School Students, Computer Software, Spelling Instruction
Puebla, Cecilia; Fievet, Tiphaine; Tsopanidi, Marilena; Clahsen, Harald – ReCALL, 2021
In an increasingly ageing, multilingual, and digitalised society, there is still a lack of research on older adults' adoption and use of mobile technology for supporting their self-directed second language learning. In the present study, we investigated the extent to which seniors residing in Germany (aged 60+) engage in mobile-assisted language…
Descriptors: Older Adults, Telecommunications, Handheld Devices, Second Language Learning
Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
Dolowitz, Annetta; Collier, Jessica; Hayes, Aleshia; Kumsal, Cem – TechTrends: Linking Research and Practice to Improve Learning, 2023
This case study details microlearning content development, testing, and implementation of the NATO Headquarters Supreme Allied Command Transformation (HQ SACT) e-Learning Networking App (NeNA) conducted by an AECT microlearning consulting team. NeNA was designed to provide microlearning "just-in-time" content, to create socialization…
Descriptors: Case Studies, Computer Software, Armed Forces, International Organizations
Mahuda, Isnaini; Nasrullah, Anton; Mubarika, Melinda Putri; Meilisa, Ranny; Fajari, Laksmi Evasufi Widi – Online Submission, 2022
This study aimed; (1) to investigate student responses toward the use of android-based media assisted by Smart Apps Creator for mathematics learning; (2) to investigate student self-regulated learning level; (3) to find out whether there was an effect using Android-based mathematics learning media assisted by Smart Apps Creator on student…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Assisted Instruction, Telecommunications
Wu, Wen-Chi; Lin, I.-Ting; Chen Hsieh, Jun – Asia-Pacific Education Researcher, 2023
The knowledge of English idioms is essential for advanced English learning and application, particularly for English-as-a-foreign-language (EFL) learners. While studies have shown the benefits of mobile-assisted language learning (MALL) to facilitate English learning, few studies have examined the factors that may influence MALL in light of…
Descriptors: Foreign Countries, English, Language Patterns, Learning Modalities
Dressman, Mark; Lee, Ju Seong; Perrot, Laurent – John Wiley & Sons, Inc, 2023
"English Language Learning in the Digital Age" is a comprehensive introduction to the theoretical background and real-world application of IDLE (Informal Digital Learning of English). Designed for teachers and future teachers preparing to teach English as a second or other language, this highly practical guide focuses on incorporating…
Descriptors: English Language Learners, English (Second Language), Language Teachers, Student Centered Learning
Simin Ren; Paul Seedhouse – Classroom Discourse, 2024
We present "doing language testing" sequences; L2 learners decide for themselves to test themselves or each other explicitly on new linguistic items, outside the official task cycle with no professional present, investing extra time and energy. We examine how and why pairs of learners do this, and its impact on their learning. They use…
Descriptors: Second Language Learning, Second Language Instruction, Language Tests, Computer Software
Xodabande, Ismail; Atai, Mahmood Reza – Open Learning, 2022
The current study investigated the contribution of a mobile application for self-directed and autonomous learning of academic vocabulary among English as a Foreign language (EFL) university students. Furthermore, we examined the long-term impacts of mobile-assisted vocabulary learning, by using a pre-, post-, and delayed post-test design. The…
Descriptors: Handheld Devices, Computer Oriented Programs, Computer Software, Independent Study
Bourekkache, Samir; Kazar, Okba – International Journal of Information and Communication Technology Education, 2020
Mobile learning is considered a new phase of e-learning which gives the opportunity to learn more effectively and efficiently. In addition, the use of mobile devices for leaning is more sophisticated and more useful. The m-learning has become available anywhere and anytime for all students and professors. Moreover, the features of these mobile…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Viberg, Olga; Kukulska-Hulme, Agnes; Peeters, Ward – International Journal of Mobile and Blended Learning, 2023
Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…
Descriptors: Metacognition, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Nouf Aljasir – International Journal of Computer-Assisted Language Learning and Teaching, 2023
This mixed-method research was conducted to examine the perceptions of self-learners of English as a foreign language (EFL) toward mobile learning (m-learning) apps. It integrated several constructs from the technology acceptance model (TAM) and constructivist learning theory (CLT) to provide a detailed picture of the learners' perceptions. The…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Computer Assisted Instruction
Gonen, S. Ipek Kuru; Kizilay, Yeliz – Turkish Online Journal of Distance Education, 2023
Informal Digital Learning of English (IDLE) refers to individual's learning endeavor occurring in out-of-class environments in a naturalistic way independent from the requirements of a formal education program including assessment. Learners' IDLE experiences in English as a Foreign Language (EFL) contexts are quite important to understand their…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
Zhang, Danyang; Pérez-Paredes, Pascual – Computer Assisted Language Learning, 2021
Despite the increasing ownership of mobile devices among Chinese postgraduate EFL learners, relevant studies regarding mobile English learning resources (MELR) use by postgraduate learners are still lacking. This study tries to understand the uses and the motivation behind language learners' selection of MALL resources. In this research, 95…
Descriptors: Graduate Students, Handheld Devices, Telecommunications, Second Language Learning