Introducing generative AI with Markov Chains: Gendered patterns of competence in English Language Arts classrooms.
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| Title: | Introducing generative AI with Markov Chains: Gendered patterns of competence in English Language Arts classrooms. |
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| Authors: | Smyslova, Daria1 dysmyslo@ncsu.edu, Jiang, Shiyan1, Rosé, Carolyn P.2, Ellis, Rebecca3, Chao, Jie3, Li, Qiuqing1 |
| Source: | Journal of Educational Research. 2025, Vol. 118 Issue 6, p701-715. 15p. |
| Subject Terms: | *Generative artificial intelligence, *High school students, *Qualitative research, Markov processes, Prediction models |
| Abstract: | This study examined an intervention designed to foster high school students' AI literacy through foundational text generation models. Using Markov Chains as an entry point, the study supported students' understanding of predictive modeling and the probabilistic nature of AI-generated text. Using a mixed-methods approach, pre- and post-assessment showed significant gains in students' self-reported competence and understanding of AI text generation, while qualitative analysis highlighted improvements in recognizing how predictive models generate text sequences. However, findings suggested that while students developed a foundational understanding, they faced challenges in extending this knowledge to more advanced AI systems. Some misconceptions also persisted, including the belief that AI-generated text is random rather than probabilistic. Also, female students tended to underestimate their competence despite slightly higher learning gains. These findings underscore the need for structured scaffolding to bridge foundational and advanced AI concepts, ensuring students develop both technical understanding and critical evaluation skills. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Educational Research is the property of Taylor & Francis Ltd 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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| Header | DbId: ehh DbLabel: Education Research Complete An: 188875650 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Introducing generative AI with Markov Chains: Gendered patterns of competence in English Language Arts classrooms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Smyslova%2C+Daria%22">Smyslova, Daria</searchLink><relatesTo>1</relatesTo><i> dysmyslo@ncsu.edu</i><br /><searchLink fieldCode="AR" term="%22Jiang%2C+Shiyan%22">Jiang, Shiyan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Rosé%2C+Carolyn+P%2E%22">Rosé, Carolyn P.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ellis%2C+Rebecca%22">Ellis, Rebecca</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Chao%2C+Jie%22">Chao, Jie</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Qiuqing%22">Li, Qiuqing</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Educational+Research%22">Journal of Educational Research</searchLink>. 2025, Vol. 118 Issue 6, p701-715. 15p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22High+school+students%22">High school students</searchLink><br />*<searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study examined an intervention designed to foster high school students' AI literacy through foundational text generation models. Using Markov Chains as an entry point, the study supported students' understanding of predictive modeling and the probabilistic nature of AI-generated text. Using a mixed-methods approach, pre- and post-assessment showed significant gains in students' self-reported competence and understanding of AI text generation, while qualitative analysis highlighted improvements in recognizing how predictive models generate text sequences. However, findings suggested that while students developed a foundational understanding, they faced challenges in extending this knowledge to more advanced AI systems. Some misconceptions also persisted, including the belief that AI-generated text is random rather than probabilistic. Also, female students tended to underestimate their competence despite slightly higher learning gains. These findings underscore the need for structured scaffolding to bridge foundational and advanced AI concepts, ensuring students develop both technical understanding and critical evaluation skills. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Educational Research is the property of Taylor & Francis Ltd 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00220671.2025.2510409 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 701 Subjects: – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: High school students Type: general – SubjectFull: Qualitative research Type: general – SubjectFull: Markov processes Type: general – SubjectFull: Prediction models Type: general Titles: – TitleFull: Introducing generative AI with Markov Chains: Gendered patterns of competence in English Language Arts classrooms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Smyslova, Daria – PersonEntity: Name: NameFull: Jiang, Shiyan – PersonEntity: Name: NameFull: Rosé, Carolyn P. – PersonEntity: Name: NameFull: Ellis, Rebecca – PersonEntity: Name: NameFull: Chao, Jie – PersonEntity: Name: NameFull: Li, Qiuqing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00220671 Numbering: – Type: volume Value: 118 – Type: issue Value: 6 Titles: – TitleFull: Journal of Educational Research Type: main |
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