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Roles and Research Foci of Artificial Intelligence in Language Education: An Integrated Bibliographic Analysis and Systematic Review Approach

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Title: Roles and Research Foci of Artificial Intelligence in Language Education: An Integrated Bibliographic Analysis and Systematic Review Approach
Language: English
Authors: Liang, Jia-Cing (ORCID 0000-0002-1134-527X), Hwang, Gwo-Jen (ORCID 0000-0001-5155-276X), Chen, Mei-Rong Alice (ORCID 0000-0003-2722-0401), Darmawansah, Darmawansah (ORCID 0000-0002-3464-4598)
Source: Interactive Learning Environments. 2023 31(7):4270-4296.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 27
Publication Date: 2023
Document Type: Journal Articles
Information Analyses
Reports - Research
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, Educational Trends, Educational Research, Writing (Composition), Reading, Vocabulary Development, Intelligent Tutoring Systems, Natural Language Processing, Thinking Skills, Problem Solving, Critical Thinking, Cooperative Learning
DOI: 10.1080/10494820.2021.1958348
ISSN: 1049-4820
1744-5191
Abstract: This study explores the roles and research foci of AILEd (Artificial Intelligence in Language Education). The AILEd studies published from 1990 to 2020 in the WOS (Web of Science) database were included in the present study. Based on the well-recognized Technology-based Learning Review model, several dimensions, such as research methods, research sample groups, adopted technology, language skills, the role of AI in language education, and learning outcomes, were taken into account. The review results show that the main application domains of AILEd research were writing, reading, and vocabulary acquisition. In terms of applied technology and algorithms, AI in language education mostly adopted ITS (Intelligent Tutoring System) and NLP (Natural Language Processing). Besides, several commonly used AI algorithms were Statistical Learning, Data Mining, Machine Learning, and Natural Language Parsing. It was also found that some research focused on learning anxiety, willingness to communicate, knowledge acquisition, and classroom interaction. However, higher order thinking, complex problem solving, critical thinking ability, and collaborative learning tendencies were rarely considered in AILEd studies. Accordingly, several suggestions are provided to researchers, teachers, and decision makers for applying or studying AI applications in language education in the future.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1398936
Database: ERIC
FullText Text:
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  Data: Roles and Research Foci of Artificial Intelligence in Language Education: An Integrated Bibliographic Analysis and Systematic Review Approach
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  Data: <searchLink fieldCode="AR" term="%22Liang%2C+Jia-Cing%22">Liang, Jia-Cing</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-1134-527X">0000-0002-1134-527X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Hwang%2C+Gwo-Jen%22">Hwang, Gwo-Jen</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0001-5155-276X">0000-0001-5155-276X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Mei-Rong+Alice%22">Chen, Mei-Rong Alice</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-2722-0401">0000-0003-2722-0401</externalLink>)<br /><searchLink fieldCode="AR" term="%22Darmawansah%2C+Darmawansah%22">Darmawansah, Darmawansah</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-3464-4598">0000-0002-3464-4598</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Interactive+Learning+Environments%22"><i>Interactive Learning Environments</i></searchLink>. 2023 31(7):4270-4296.
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  Label: Availability
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  Data: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
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  Data: 27
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  Data: Journal Articles<br />Information Analyses<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Trends%22">Educational Trends</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+%28Composition%29%22">Writing (Composition)</searchLink><br /><searchLink fieldCode="DE" term="%22Reading%22">Reading</searchLink><br /><searchLink fieldCode="DE" term="%22Vocabulary+Development%22">Vocabulary Development</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+Tutoring+Systems%22">Intelligent Tutoring Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+Language+Processing%22">Natural Language Processing</searchLink><br /><searchLink fieldCode="DE" term="%22Thinking+Skills%22">Thinking Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+Solving%22">Problem Solving</searchLink><br /><searchLink fieldCode="DE" term="%22Critical+Thinking%22">Critical Thinking</searchLink><br /><searchLink fieldCode="DE" term="%22Cooperative+Learning%22">Cooperative Learning</searchLink>
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  Data: 10.1080/10494820.2021.1958348
– Name: ISSN
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  Data: 1049-4820<br />1744-5191
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study explores the roles and research foci of AILEd (Artificial Intelligence in Language Education). The AILEd studies published from 1990 to 2020 in the WOS (Web of Science) database were included in the present study. Based on the well-recognized Technology-based Learning Review model, several dimensions, such as research methods, research sample groups, adopted technology, language skills, the role of AI in language education, and learning outcomes, were taken into account. The review results show that the main application domains of AILEd research were writing, reading, and vocabulary acquisition. In terms of applied technology and algorithms, AI in language education mostly adopted ITS (Intelligent Tutoring System) and NLP (Natural Language Processing). Besides, several commonly used AI algorithms were Statistical Learning, Data Mining, Machine Learning, and Natural Language Parsing. It was also found that some research focused on learning anxiety, willingness to communicate, knowledge acquisition, and classroom interaction. However, higher order thinking, complex problem solving, critical thinking ability, and collaborative learning tendencies were rarely considered in AILEd studies. Accordingly, several suggestions are provided to researchers, teachers, and decision makers for applying or studying AI applications in language education in the future.
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  Data: 2023
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  Data: EJ1398936
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      – Text: English
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        PageCount: 27
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    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Second Language Learning
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      – SubjectFull: Cooperative Learning
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