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Jiangyue Liu; Siran Li; Qianyan Dong – Journal of Educational Computing Research, 2024
The emergence of Generative Artificial Intelligence (GAI) has caused significant disruption to the traditional educational teaching ecosystem. GAI possesses remarkable capabilities in generating human-like text and boasts an extensive knowledge repository, thereby paving the way for potential collaboration with humans. However, current research on…
Descriptors: Artificial Intelligence, Learning Analytics, Computer Uses in Education, Instructional Design
Tseng, Wen-Ta; Chen, Sufen; Wang, Shih-Ping; Cheng, Hsing-Fu; Yang, Pei-Shan; Gao, Xuesong A. – Journal of Educational Computing Research, 2022
Mobile-assisted language learning has emerged as a valuable tool for L2 pronunciation learning as it offers ample opportunities for learners to perform authentic learning activities anytime and anywhere. However, the extent to which mobile devices may facilitate or enhance L2 pronunciation has yet to be systematically investigated. To address the…
Descriptors: Pronunciation Instruction, Teaching Methods, Meta Analysis, Second Language Learning
Hwang, Wu-Yuin; Nurtantyana, Rio; Purba, Siska Wati Dewi; Hariyanti, Uun; Indrihapsari, Yuniar; Surjono, Herman Dwi – Journal of Educational Computing Research, 2023
English as Foreign Language (EFL) writing is challenging for students due to the lack of related lexical resources to inspire them for meaningful writing besides grammar feedback. Moreover, it is crucial to design personalized feedback based on students' original writings in helping to improve their writing abilities. Therefore, we developed Smart…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, English (Second Language)
Liu, Yi-Fan; Hwang, Wu-Yuin; Liu, Zi-Yan – Journal of Educational Computing Research, 2021
Teaching English in a classroom setting where EFL learners were usually sitting at desks and doing English learning tasks using paper and pencil is inefficient. It has considerable potential problems that could lead to students learning in a passive state. More specifically, the teaching materials are inconsistent with students' authentic…
Descriptors: Electronic Learning, Handheld Devices, Dramatic Play, Authentic Learning
Mills, Kelly; Jass Ketelhut, Diane; Gong, Xiaoyang – Journal of Educational Computing Research, 2019
Immersive virtual environments (IVEs) model scientific inquiry practices and can provide rich learning experiences for students. However, the teacher is an essential component of how the students engage with the technology, as they embed the IVE into everyday teaching and learning. Ideally, classroom pedagogies would reflect the scientific…
Descriptors: Teacher Attitudes, Attitude Change, Technology Integration, Inquiry
Uz Bilgin, Cigdem; Tokel, S. Tugba – Journal of Educational Computing Research, 2019
The aim of this study was to investigate how the contextual vocabulary exploration processes of English as a Foreign Language learners can be facilitated in a mobile-supported situated learning environment. A Science and Technology Museum populated with interactive science experiments was chosen as the situated learning context. A mobile…
Descriptors: Vocabulary Development, Computer Assisted Instruction, Telecommunications, Museums