Research Trends and Hotspots of Digital Game-Based Vocabulary Learning (2008-2023): A Scientometrics Review

Αποθηκεύτηκε σε:

Λεπτομέρειες βιβλιογραφικής εγγραφής
Εκδόθηκε σε:	International Journal of Computer - Assisted Language Learning and Teaching vol. 14, no. 1 (2024), p. 1
Κύριος συγγραφέας:	Xiong, Zhaoyang
Άλλοι συγγραφείς:	Wu, Junjie, Lee, Kean
Έκδοση:	IGI Global
Θέματα:	Hong Kong China United States > US China Taiwan Students Language acquisition Computer & video games Trends English language Language instruction English as a second language Cognitive load Cognitive ability Cognition & reasoning Skills Augmented reality Vocabulary learning Research methodology Motivation Scientometrics Bibliometrics Learning Educational objectives Vocabulary development Qualitative research Education Systematic review Computer assisted language learning Databases Games Teaching Selection criteria Vocabulary Educational research Research Research applications Classrooms Instructional Improvement Educational Opportunities Communicative Competence (Languages) Bayesian Statistics Student Motivation Language Proficiency Educational Environment Learner Engagement English Game Based Learning Educational Strategies Language Skills Influence of Technology Educational Methods Computers Educational Technology English (Second Language) Instructional Materials Computer Assisted Instruction Elementary School Students Elementary Secondary Education
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Περιγραφή
Περίληψη:	Digital games have gained significant attention in the field of language education. Among various educational applications, research on digital game-based vocabulary learning (DGBVL) has seen a marked increase in interest and exploration. This study presents a scientometric review based on bibliometric data from the Scopus and Web of Science Core databases. Using specific selection criteria, 364 studies published between 2008 and 2023 were identified for analysis. The findings revealed the following: (a) research on DGBVL has demonstrated considerable growth in recent years, highlighting its high potential; (b) the United States, Taiwan, Mainland China, and Hong Kong emerged as the most prolific contributors to publications in this area; and (c) major research clusters include vocabulary learning, classroom teaching improvement, WhatsApp, augmented reality (AR), and other related topics. This review offers valuable insights for scholars and researchers in DGBVL, fostering further advancements in this field.
ISSN:	2155-7098 2155-7101
DOI:	10.4018/IJCALLT.366656
Πηγή:	Advanced Technologies & Aerospace Index