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. |
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| 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] |
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| Database: | Education Research Complete |
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