Extension Partnerships for Innovative Programming: A Community-Based Training on Artificial Intelligence for Workforce Development
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| Title: | Extension Partnerships for Innovative Programming: A Community-Based Training on Artificial Intelligence for Workforce Development |
|---|---|
| Language: | English |
| Authors: | Paul A. Hill (ORCID |
| Source: | Journal of Human Sciences & Extension. 2024 12(3). |
| Availability: | School of Human Sciences, Mississippi State University. PO Box 9745, Mississippi State, MS 39762. Tel: 662-325-6861; Fax: 662-325-8188; e-mail: jhse@ext.msstate.edu; Web site: https://scholarsjunction.msstate.edu/jhse/ |
| Peer Reviewed: | Y |
| Page Count: | 12 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education Two Year Colleges |
| Descriptors: | Artificial Intelligence, Partnerships in Education, Labor Force Development, Community Education, Extension Education, Technology Uses in Education, Corporations, Technical Institutes, Adults, Training Objectives, Student Attitudes, Influence of Technology, Self Efficacy |
| Geographic Terms: | Utah |
| ISSN: | 2325-5226 |
| Abstract: | The AI Training Series was Washington County, Utah's first community education offering on the topic of generative AI (GenAI). The training provided community members with an overview of the capabilities and advantages of GenAI and assisted them in making informed technology adoption decisions. Utah State University Extension partnered with Dixie Technical College and Zonos, a software company, to evaluate the effectiveness of the learning experience based on anticipated outcomes. Results showed the training was effective for disseminating information and advancing knowledge on the topic of GenAI. However, students' intentions to adopt AI were lower than expected due to perceived barriers to using it effectively in their work. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1459863 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1459863 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1459863 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Extension Partnerships for Innovative Programming: A Community-Based Training on Artificial Intelligence for Workforce Development – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Paul+A%2E+Hill%22">Paul A. Hill</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0007-2119-4739">0009-0007-2119-4739</externalLink>)<br /><searchLink fieldCode="AR" term="%22Lendel+K%2E+Narine%22">Lendel K. Narine</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-6962-2770">0000-0001-6962-2770</externalLink>)<br /><searchLink fieldCode="AR" term="%22Jordan+L%2E+Rushton%22">Jordan L. Rushton</searchLink><br /><searchLink fieldCode="AR" term="%22Clint+J%2E+Reid%22">Clint J. Reid</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Human+Sciences+%26+Extension%22"><i>Journal of Human Sciences & Extension</i></searchLink>. 2024 12(3). – Name: Avail Label: Availability Group: Avail Data: School of Human Sciences, Mississippi State University. PO Box 9745, Mississippi State, MS 39762. Tel: 662-325-6861; Fax: 662-325-8188; e-mail: jhse@ext.msstate.edu; Web site: https://scholarsjunction.msstate.edu/jhse/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 12 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – 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><br /><searchLink fieldCode="EL" term="%22Two+Year+Colleges%22">Two Year Colleges</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Partnerships+in+Education%22">Partnerships in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Labor+Force+Development%22">Labor Force Development</searchLink><br /><searchLink fieldCode="DE" term="%22Community+Education%22">Community Education</searchLink><br /><searchLink fieldCode="DE" term="%22Extension+Education%22">Extension Education</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Corporations%22">Corporations</searchLink><br /><searchLink fieldCode="DE" term="%22Technical+Institutes%22">Technical Institutes</searchLink><br /><searchLink fieldCode="DE" term="%22Adults%22">Adults</searchLink><br /><searchLink fieldCode="DE" term="%22Training+Objectives%22">Training Objectives</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Influence+of+Technology%22">Influence of Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Efficacy%22">Self Efficacy</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Utah%22">Utah</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2325-5226 – Name: Abstract Label: Abstract Group: Ab Data: The AI Training Series was Washington County, Utah's first community education offering on the topic of generative AI (GenAI). The training provided community members with an overview of the capabilities and advantages of GenAI and assisted them in making informed technology adoption decisions. Utah State University Extension partnered with Dixie Technical College and Zonos, a software company, to evaluate the effectiveness of the learning experience based on anticipated outcomes. Results showed the training was effective for disseminating information and advancing knowledge on the topic of GenAI. However, students' intentions to adopt AI were lower than expected due to perceived barriers to using it effectively in their work. – 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: EJ1459863 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1459863 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 12 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Partnerships in Education Type: general – SubjectFull: Labor Force Development Type: general – SubjectFull: Community Education Type: general – SubjectFull: Extension Education Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Corporations Type: general – SubjectFull: Technical Institutes Type: general – SubjectFull: Adults Type: general – SubjectFull: Training Objectives Type: general – SubjectFull: Student Attitudes Type: general – SubjectFull: Influence of Technology Type: general – SubjectFull: Self Efficacy Type: general – SubjectFull: Utah Type: general Titles: – TitleFull: Extension Partnerships for Innovative Programming: A Community-Based Training on Artificial Intelligence for Workforce Development Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Paul A. Hill – PersonEntity: Name: NameFull: Lendel K. Narine – PersonEntity: Name: NameFull: Jordan L. Rushton – PersonEntity: Name: NameFull: Clint J. Reid IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2325-5226 Numbering: – Type: volume Value: 12 – Type: issue Value: 3 Titles: – TitleFull: Journal of Human Sciences & Extension Type: main |
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