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Twenty-Five Years of Computer-Assisted Language Learning: A Topic Modeling Analysis

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Title: Twenty-Five Years of Computer-Assisted Language Learning: A Topic Modeling Analysis
Language: English
Authors: Chen, Xieling, Zou, Di, Xie, Haoran, Su, Fan
Source: Language Learning & Technology. Oct 2021 25(3):151-185.
Availability: National Foreign Language Resource Center at University of Hawaii. 1859 East-West Road #106, Honolulu, HI 96822. e-mail: llt@hawaii.edu; Web site: https://www.lltjournal.org/
Peer Reviewed: Y
Page Count: 35
Publication Date: 2021
Document Type: Journal Articles
Information Analyses
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Educational Research, Active Learning, Student Projects, Electronic Learning, Blended Learning, Handheld Devices, Game Based Learning, Computer Simulation, Multimedia Instruction, Computer Mediated Communication, Web 2.0 Technologies, Vocabulary Development, Foreign Countries, Journal Articles
Geographic Terms: United States, Taiwan, United Kingdom
ISSN: 1094-3501
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.
Abstractor: As Provided
Entry Date: 2021
Access URL: https://scholarspace.manoa.hawaii.edu/bitstream/10125/73454/1/25_03_10125-73454.pdf
Accession Number: EJ1318430
Database: ERIC
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  Data: Twenty-Five Years of Computer-Assisted Language Learning: A Topic Modeling Analysis
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  Data: <searchLink fieldCode="SO" term="%22Language+Learning+%26+Technology%22"><i>Language Learning & Technology</i></searchLink>. Oct 2021 25(3):151-185.
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  Data: National Foreign Language Resource Center at University of Hawaii. 1859 East-West Road #106, Honolulu, HI 96822. e-mail: llt@hawaii.edu; Web site: https://www.lltjournal.org/
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  Label: Abstract
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  Data: 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.
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    Languages:
      – Text: English
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        PageCount: 35
        StartPage: 151
    Subjects:
      – SubjectFull: Second Language Learning
        Type: general
      – SubjectFull: Second Language Instruction
        Type: general
      – SubjectFull: Computer Assisted Instruction
        Type: general
      – SubjectFull: Educational Research
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      – SubjectFull: Active Learning
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      – SubjectFull: Student Projects
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      – SubjectFull: Journal Articles
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      – SubjectFull: United States
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      – SubjectFull: Taiwan
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      – SubjectFull: United Kingdom
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      – TitleFull: Twenty-Five Years of Computer-Assisted Language Learning: A Topic Modeling Analysis
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              Type: published
              Y: 2021
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