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Generative AI in Mathematics, Science, and STEM Education: Research, Applications, and Emerging Themes.

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Title: Generative AI in Mathematics, Science, and STEM Education: Research, Applications, and Emerging Themes.
Authors: Redmond‐Sanogo, Adrienne1 (AUTHOR) adrienne.redmond@okstate.edu, Burton, Megan2 (AUTHOR), Ivy, Jessica3 (AUTHOR), Maiorca, Catherine4 (AUTHOR)
Source: School Science & Mathematics. Feb2026, Vol. 126 Issue 1, p3-8. 6p.
Subject Terms: *Generative artificial intelligence, *STEM education, *Ethical problems, *Digital literacy, *Mathematics education, *Student engagement, *Science education, *Individualized instruction
Abstract: The article discusses the transformative impact of generative artificial intelligence (GenAI) on mathematics, science, and STEM education, emphasizing its potential to enhance teaching and learning while also highlighting the need for careful integration. It outlines the dual perceptions of educators regarding GenAI, noting both optimism about its capabilities and concerns about ethical implications and accuracy. The article reviews recent research on GenAI's applications in educational contexts, including its role in personalized learning and assessment practices, and stresses the importance of developing AI literacy among both students and educators. It concludes by identifying emerging themes, gaps in the literature, and future research directions to ensure effective and equitable use of GenAI in education. [Extracted from the article]
Copyright of School Science & Mathematics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Generative AI in Mathematics, Science, and STEM Education: Research, Applications, and Emerging Themes.
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  Data: <searchLink fieldCode="JN" term="%22School+Science+%26+Mathematics%22">School Science & Mathematics</searchLink>. Feb2026, Vol. 126 Issue 1, p3-8. 6p.
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  Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22STEM+education%22">STEM education</searchLink><br />*<searchLink fieldCode="DE" term="%22Ethical+problems%22">Ethical problems</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+literacy%22">Digital literacy</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematics+education%22">Mathematics education</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+engagement%22">Student engagement</searchLink><br />*<searchLink fieldCode="DE" term="%22Science+education%22">Science education</searchLink><br />*<searchLink fieldCode="DE" term="%22Individualized+instruction%22">Individualized instruction</searchLink>
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  Data: The article discusses the transformative impact of generative artificial intelligence (GenAI) on mathematics, science, and STEM education, emphasizing its potential to enhance teaching and learning while also highlighting the need for careful integration. It outlines the dual perceptions of educators regarding GenAI, noting both optimism about its capabilities and concerns about ethical implications and accuracy. The article reviews recent research on GenAI's applications in educational contexts, including its role in personalized learning and assessment practices, and stresses the importance of developing AI literacy among both students and educators. It concludes by identifying emerging themes, gaps in the literature, and future research directions to ensure effective and equitable use of GenAI in education. [Extracted from the article]
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  Data: <i>Copyright of School Science & Mathematics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=191298898
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        Value: 10.1111/ssm.70002
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        Text: English
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        PageCount: 6
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      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: STEM education
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      – SubjectFull: Ethical problems
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      – SubjectFull: Digital literacy
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      – SubjectFull: Mathematics education
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              Text: Feb2026
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              Y: 2026
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