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Sustainability Education Meets Artificial Intelligence: A Post-2022 Bibliometric Map and Thematic Analysis

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Title: Sustainability Education Meets Artificial Intelligence: A Post-2022 Bibliometric Map and Thematic Analysis
Language: English
Authors: Alfiya R. Masalimova (ORCID 0000-0003-3711-2527), Yuliya P. Kosheleva (ORCID 0000-0001-5653-2143), Aleksandr I. Burov (ORCID 0000-0002-7909-2993), Olga V. Payushina (ORCID 0000-0001-8467-0623), Natalia L. Sokolova (ORCID 0000-0002-0667-5098), Maria A. Khvatova (ORCID 0000-0002-2156-8805)
Source: Contemporary Educational Technology. 2025 17(4):609.
Availability: Contemporary Educational Technology. Faculty of Communication Sciences, Anadolu University, Yunus Emre Campus, Eskisehir 26470, Turkey. e-mail: editor@cedtech.net; Web site: http://www.cedtech.net
Peer Reviewed: Y
Page Count: 22
Publication Date: 2025
Document Type: Journal Articles
Information Analyses
Descriptors: Sustainability, Artificial Intelligence, Educational Research, Environmental Influences, Risk Management, Educational Change, Competence, Instructional Effectiveness, Evaluation Methods, Technology Uses in Education
Abstract: This study maps 417 peer reviewed publications (2022-2025) at the intersection of sustainability education (SE) and artificial intelligence (AI) using bibliometric methods. We chart venues, co authorship, keyword evolution, and technique usage. The results reveal that "ChatGPT" and "generative AI" are becoming the most popular terms after 2022. Outputs are still mostly from North America and Europe, although contributions from Saudi Arabia, India, and Malaysia are growing. Institutional networks are broken, which means that institutions don't cooperate together very often. Supervised learning predominates, and neural networks are the most used single technique. We synthesize scattered findings into three practical principles-- personalization--protection, competence alignment, and multi-level synchronization--that link AI uses to core SE competencies and support course to institution coordination. The study also shows a dual sustainability lens: AI can help fight climate change, but it also has implications for privacy and the environment. This shows the need for energy reporting and bias safeguards. We suggest causal and longitudinal assessments, collaborative datasets and rubrics, and capacity enhancement for resource-limited environments. Some of the problems are a short citation window (2022-2025), a bias against English speakers, and the possibility of missing databases. Overall, the subject is growing swiftly, but it requires more proof, common standards, and more environmentally friendly ways of doing things to turn AI into lasting educational value.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1494797
Database: ERIC
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  Data: Sustainability Education Meets Artificial Intelligence: A Post-2022 Bibliometric Map and Thematic Analysis
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  Data: <searchLink fieldCode="AR" term="%22Alfiya+R%2E+Masalimova%22">Alfiya R. Masalimova</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-3711-2527">0000-0003-3711-2527</externalLink>)<br /><searchLink fieldCode="AR" term="%22Yuliya+P%2E+Kosheleva%22">Yuliya P. Kosheleva</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-5653-2143">0000-0001-5653-2143</externalLink>)<br /><searchLink fieldCode="AR" term="%22Aleksandr+I%2E+Burov%22">Aleksandr I. Burov</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-7909-2993">0000-0002-7909-2993</externalLink>)<br /><searchLink fieldCode="AR" term="%22Olga+V%2E+Payushina%22">Olga V. Payushina</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8467-0623">0000-0001-8467-0623</externalLink>)<br /><searchLink fieldCode="AR" term="%22Natalia+L%2E+Sokolova%22">Natalia L. Sokolova</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0667-5098">0000-0002-0667-5098</externalLink>)<br /><searchLink fieldCode="AR" term="%22Maria+A%2E+Khvatova%22">Maria A. Khvatova</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-2156-8805">0000-0002-2156-8805</externalLink>)
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  Data: Contemporary Educational Technology. Faculty of Communication Sciences, Anadolu University, Yunus Emre Campus, Eskisehir 26470, Turkey. e-mail: editor@cedtech.net; Web site: http://www.cedtech.net
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  Data: <searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+Influences%22">Environmental Influences</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+Management%22">Risk Management</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Change%22">Educational Change</searchLink><br /><searchLink fieldCode="DE" term="%22Competence%22">Competence</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Effectiveness%22">Instructional Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Methods%22">Evaluation Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink>
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  Data: This study maps 417 peer reviewed publications (2022-2025) at the intersection of sustainability education (SE) and artificial intelligence (AI) using bibliometric methods. We chart venues, co authorship, keyword evolution, and technique usage. The results reveal that "ChatGPT" and "generative AI" are becoming the most popular terms after 2022. Outputs are still mostly from North America and Europe, although contributions from Saudi Arabia, India, and Malaysia are growing. Institutional networks are broken, which means that institutions don't cooperate together very often. Supervised learning predominates, and neural networks are the most used single technique. We synthesize scattered findings into three practical principles-- personalization--protection, competence alignment, and multi-level synchronization--that link AI uses to core SE competencies and support course to institution coordination. The study also shows a dual sustainability lens: AI can help fight climate change, but it also has implications for privacy and the environment. This shows the need for energy reporting and bias safeguards. We suggest causal and longitudinal assessments, collaborative datasets and rubrics, and capacity enhancement for resource-limited environments. Some of the problems are a short citation window (2022-2025), a bias against English speakers, and the possibility of missing databases. Overall, the subject is growing swiftly, but it requires more proof, common standards, and more environmentally friendly ways of doing things to turn AI into lasting educational value.
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RecordInfo BibRecord:
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 609
    Subjects:
      – SubjectFull: Sustainability
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Educational Research
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      – SubjectFull: Environmental Influences
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      – SubjectFull: Risk Management
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      – SubjectFull: Educational Change
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      – SubjectFull: Competence
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      – SubjectFull: Instructional Effectiveness
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      – SubjectFull: Evaluation Methods
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      – SubjectFull: Technology Uses in Education
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      – TitleFull: Sustainability Education Meets Artificial Intelligence: A Post-2022 Bibliometric Map and Thematic Analysis
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