Twenty-five years of computer-assisted language learning: A topic modeling analysis

The advance of educational technologies and digital devices have made computer-assisted language learning (CALL) an active interdisciplinary field with increasing research potential and topic diversity. Questions like “what topics and technologies attract the interest of the CALL community?,” “how h...

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Published inLanguage learning & technology Vol. 25; no. 3; pp. 151 - 185
Main Authors Chen, Xieling, Zou, Di, Xie, Haoran R., Su, Fan
Format Journal Article
LanguageEnglish
Published Honolulu National Foreign Language Resource Center at University of Hawaii 01.10.2021
University of Hawaii, National Foreign Language Resource Center
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Abstract The advance of educational technologies and digital devices have made computer-assisted language learning (CALL) an active interdisciplinary field with increasing research potential and topic diversity. Questions like “what topics and technologies attract the interest of the CALL community?,” “how have these topics and technologies evolved?,” and “what is the future of CALL?” are key to understanding where the CALL field has been and where it is going. To help answer these questions, the present review combined structural topic modeling, the Mann-Kendall trend test, and hierarchical clustering with bibliometrics to investigate the research status, trends, and prominent issues in CALL from 1,295 articles over the past 25 years ending in 2020. Major findings revealed that Social Sciences Citation Indexed journals such as Computer Assisted Language Learning, Language Learning & Technology, and ReCALL contributed most to the field. Topics that drew the most interest included mobile-assisted language learning, project-based learning, and blended learning. Topics drawing increasing research interest include mobile-assisted language learning, seamless learning, wiki-based learning, and virtual world and virtual reality. Additionally, the development of mobile devices, games, and virtual worlds continuously promote research attention. Finally, the review showed that scholars and educators are integrating different technologies, such as the mixed use of mobile technology and glosses/annotations for vocabulary learning, and their application into various contexts; one such context being the integration of digital multimodal composing into blended project-based learning.
AbstractList The advance of educational technologies and digital devices have made computer-assisted language learning (CALL) an active interdisciplinary field with increasing research potential and topic diversity. Questions like "what topics and technologies attract the interest of the CALL community?," "how have these topics and technologies evolved?," and "what is the future of CALL?" are key to understanding where the CALL field has been and where it is going. To help answer these questions, the present review combined structural topic modeling, the Mann-Kendall trend test, and hierarchical clustering with bibliometrics to investigate the research status, trends, and prominent issues in CALL from 1,295 articles over the past 25 years ending in 2020. Major findings revealed that Social Sciences Citation Indexed journals such as Computer Assisted Language Learning, Language Learning & Technology, and ReCALL contributed most to the field. Topics that drew the most interest included mobile-assisted language learning, project-based learning, and blended learning. Topics drawing increasing research interest include mobile-assisted language learning, seamless learning, wiki-based learning, and virtual world and virtual reality. Additionally, the development of mobile devices, games, and virtual worlds continuously promote research attention. Finally, the review showed that scholars and educators are integrating different technologies, such as the mixed use of mobile technology and glosses/annotations for vocabulary learning, and their application into various contexts; one such context being the integration of digital multimodal composing into blended project-based learning.
Author Zou, Di
Chen, Xieling
Su, Fan
Xie, Haoran R.
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StartPage 151
SubjectTerms Active Learning
Bibliometrics
Blended Learning
Computer Assisted Instruction
Computer assisted language learning
Computer Mediated Communication
Computer Simulation
Computers
Data mining
Educational Research
Educational technology
Electronic Learning
Foreign Countries
Game Based Learning
Handheld Devices
Influence of Technology
Interdisciplinary aspects
Multimedia Instruction
Project-based learning
Second Language Instruction
Second Language Learning
Social sciences
Student Projects
Topics
Virtual communities
Vocabulary Development
Vocabulary learning
Web 2.0 Technologies
Title Twenty-five years of computer-assisted language learning: A topic modeling analysis
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