Analysis of AI Research Projects in 1st-Year English Composition
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| Title: | Analysis of AI Research Projects in 1st-Year English Composition |
|---|---|
| Language: | English |
| Authors: | Laura Dumin |
| Source: | Journal of Teaching and Learning with Technology. 2025 14:199-212. |
| Availability: | Indiana University. 107 South Indiana Avenue, Bryan Hall 203B, Bloomington, IN 47405. Tel: 317-274-5647; Fax: 317-278-2360; e-mail: josotl@iu.edu; Web site: https://scholarworks.iu.edu/journals/index.php/jotlt |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Research Projects, College Freshmen, Writing Instruction, Reflection, Student Projects, Technological Literacy, Skill Development, Freshman Composition, Metropolitan Areas, Rhetorical Criticism, Universities, Student Attitudes, Group Activities |
| ISSN: | 2165-2554 |
| Abstract: | This case study explores rhetorical analysis as a practical framework for developing artificial intelligence (AI) literacy in undergraduate writing instruction, combining scholarship of teaching and learning methodology with transformative learning theory. Through a comparative analysis of 28 students across two groups (separated by 6 months), the study examined if and how students developed critical evaluation skills when analyzing large language model (LLM) outputs. Working in small groups, students applied rhetorical analysis to different LLM outputs (ChatGPT, Claude, Gemini, Bing/Copilot) over 5 weeks, then completed individual reflections on their learning. Findings reveal shifts in student approaches. The study demonstrates that rhetorical analysis provides an accessible pedagogical bridge between theoretical AI literacy frameworks and practical classroom implementation, helping students navigate AI-integrated writing spaces while gaining critical thinking skills. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1494934 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1494934 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1494934 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analysis of AI Research Projects in 1st-Year English Composition – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Laura+Dumin%22">Laura Dumin</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Teaching+and+Learning+with+Technology%22"><i>Journal of Teaching and Learning with Technology</i></searchLink>. 2025 14:199-212. – Name: Avail Label: Availability Group: Avail Data: Indiana University. 107 South Indiana Avenue, Bryan Hall 203B, Bloomington, IN 47405. Tel: 317-274-5647; Fax: 317-278-2360; e-mail: josotl@iu.edu; Web site: https://scholarworks.iu.edu/journals/index.php/jotlt – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 14 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Projects%22">Research Projects</searchLink><br /><searchLink fieldCode="DE" term="%22College+Freshmen%22">College Freshmen</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Instruction%22">Writing Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Reflection%22">Reflection</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Projects%22">Student Projects</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+Literacy%22">Technological Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Skill+Development%22">Skill Development</searchLink><br /><searchLink fieldCode="DE" term="%22Freshman+Composition%22">Freshman Composition</searchLink><br /><searchLink fieldCode="DE" term="%22Metropolitan+Areas%22">Metropolitan Areas</searchLink><br /><searchLink fieldCode="DE" term="%22Rhetorical+Criticism%22">Rhetorical Criticism</searchLink><br /><searchLink fieldCode="DE" term="%22Universities%22">Universities</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Group+Activities%22">Group Activities</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2165-2554 – Name: Abstract Label: Abstract Group: Ab Data: This case study explores rhetorical analysis as a practical framework for developing artificial intelligence (AI) literacy in undergraduate writing instruction, combining scholarship of teaching and learning methodology with transformative learning theory. Through a comparative analysis of 28 students across two groups (separated by 6 months), the study examined if and how students developed critical evaluation skills when analyzing large language model (LLM) outputs. Working in small groups, students applied rhetorical analysis to different LLM outputs (ChatGPT, Claude, Gemini, Bing/Copilot) over 5 weeks, then completed individual reflections on their learning. Findings reveal shifts in student approaches. The study demonstrates that rhetorical analysis provides an accessible pedagogical bridge between theoretical AI literacy frameworks and practical classroom implementation, helping students navigate AI-integrated writing spaces while gaining critical thinking skills. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: EJ1494934 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1494934 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 199 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Research Projects Type: general – SubjectFull: College Freshmen Type: general – SubjectFull: Writing Instruction Type: general – SubjectFull: Reflection Type: general – SubjectFull: Student Projects Type: general – SubjectFull: Technological Literacy Type: general – SubjectFull: Skill Development Type: general – SubjectFull: Freshman Composition Type: general – SubjectFull: Metropolitan Areas Type: general – SubjectFull: Rhetorical Criticism Type: general – SubjectFull: Universities Type: general – SubjectFull: Student Attitudes Type: general – SubjectFull: Group Activities Type: general Titles: – TitleFull: Analysis of AI Research Projects in 1st-Year English Composition Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Laura Dumin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2165-2554 Numbering: – Type: volume Value: 14 Titles: – TitleFull: Journal of Teaching and Learning with Technology Type: main |
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