Generative AI for College Students: A Collaboratively Developed Online Microcourse on GenAI in the College Classroom
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| Title: | Generative AI for College Students: A Collaboratively Developed Online Microcourse on GenAI in the College Classroom |
|---|---|
| Language: | English |
| Authors: | Amber Willenborg, Tessa Withorn |
| Source: | Communications in Information Literacy. 2025 19(1):113-130. |
| Availability: | Communications in Information Literacy. e-mail: editors@comminfolit.org; Web site: https://pdxscholar.library.pdx.edu/comminfolit/ |
| Peer Reviewed: | Y |
| Page Count: | 19 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Descriptive Tests/Questionnaires |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Librarians, Academic Libraries, College Faculty, School Personnel, Learning Management Systems, Technological Literacy, Technology Uses in Education, Online Courses, Library Role, Research, Writing (Composition), Ethics, Program Effectiveness |
| Geographic Terms: | Kentucky (Louisville) |
| Abstract: | Academic libraries have taken a variety of approaches to addressing the opportunities and challenges of generative artificial intelligence (GenAI) in higher education. For universities that have no standard policy around GenAI, instructors are left with little guidance on how to teach students about GenAI in the classroom and may have varying levels of comfort with GenAI and its applications. To address the need for more instruction around GenAI, a team of librarians and university writing center and digital media suite staff took an innovative approach to teaching AI literacy by creating a six-lesson microcourse in their learning management system all about GenAI: how it works, its limitations, and how to use it efficiently and ethically for college research and writing. Microlearning offers a robust avenue for delivering instruction created by multiple experts, while also considering instructors' time constraints around addressing both course content and AI literacy. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1479085 |
| Database: | ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1479085 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Generative AI for College Students: A Collaboratively Developed Online Microcourse on GenAI in the College Classroom – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Amber+Willenborg%22">Amber Willenborg</searchLink><br /><searchLink fieldCode="AR" term="%22Tessa+Withorn%22">Tessa Withorn</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Communications+in+Information+Literacy%22"><i>Communications in Information Literacy</i></searchLink>. 2025 19(1):113-130. – Name: Avail Label: Availability Group: Avail Data: Communications in Information Literacy. e-mail: editors@comminfolit.org; Web site: https://pdxscholar.library.pdx.edu/comminfolit/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 19 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Descriptive<br />Tests/Questionnaires – 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="%22Librarians%22">Librarians</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Libraries%22">Academic Libraries</searchLink><br /><searchLink fieldCode="DE" term="%22College+Faculty%22">College Faculty</searchLink><br /><searchLink fieldCode="DE" term="%22School+Personnel%22">School Personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Management+Systems%22">Learning Management Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+Literacy%22">Technological Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Online+Courses%22">Online Courses</searchLink><br /><searchLink fieldCode="DE" term="%22Library+Role%22">Library Role</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+%28Composition%29%22">Writing (Composition)</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Effectiveness%22">Program Effectiveness</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Kentucky+%28Louisville%29%22">Kentucky (Louisville)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Academic libraries have taken a variety of approaches to addressing the opportunities and challenges of generative artificial intelligence (GenAI) in higher education. For universities that have no standard policy around GenAI, instructors are left with little guidance on how to teach students about GenAI in the classroom and may have varying levels of comfort with GenAI and its applications. To address the need for more instruction around GenAI, a team of librarians and university writing center and digital media suite staff took an innovative approach to teaching AI literacy by creating a six-lesson microcourse in their learning management system all about GenAI: how it works, its limitations, and how to use it efficiently and ethically for college research and writing. Microlearning offers a robust avenue for delivering instruction created by multiple experts, while also considering instructors' time constraints around addressing both course content and AI literacy. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2025 – Name: AN Label: Accession Number Group: ID Data: EJ1479085 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1479085 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 113 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Librarians Type: general – SubjectFull: Academic Libraries Type: general – SubjectFull: College Faculty Type: general – SubjectFull: School Personnel Type: general – SubjectFull: Learning Management Systems Type: general – SubjectFull: Technological Literacy Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Online Courses Type: general – SubjectFull: Library Role Type: general – SubjectFull: Research Type: general – SubjectFull: Writing (Composition) Type: general – SubjectFull: Ethics Type: general – SubjectFull: Program Effectiveness Type: general – SubjectFull: Kentucky (Louisville) Type: general Titles: – TitleFull: Generative AI for College Students: A Collaboratively Developed Online Microcourse on GenAI in the College Classroom Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Amber Willenborg – PersonEntity: Name: NameFull: Tessa Withorn IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: Communications in Information Literacy Type: main |
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