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Examining AI Perceptions and Utilization among Agricultural Educators in Utah

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Title: Examining AI Perceptions and Utilization among Agricultural Educators in Utah
Language: English
Authors: Sidney Pehrson (ORCID 0009-0007-2467-9459), Tyson J. Sorensen (ORCID 0000-0003-2103-1669), Matthew J. Wood (ORCID 0000-0003-3974-2282), Michelle S. Burrows (ORCID 0000-0003-0523-9582), Joseph Furse (ORCID 0009-0001-1386-126X)
Source: Journal of Agricultural Education. 2025 66(3).
Availability: American Association for Agricultural Education. P.O. Box 7607, Department of Agricultural and Extension Education, Raleigh, NC 27695. Web site: https://jae-online.org/index.php/jae/index
Peer Reviewed: Y
Page Count: 17
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, Teacher Attitudes, Technology Uses in Education, Agricultural Education, Agriculture Teachers, Barriers, Intention, Faculty Development, Teacher Characteristics
Geographic Terms: Utah
DOI: 10.5032/jae.v66i3.2910
ISSN: 1042-0541
2162-5212
Abstract: Artificial Intelligence (AI) has garnered attention as an innovative technology, revolutionizing various components of society, including education. The new technology can potentially improve efficiency and reduce burdens placed on teachers, but AI in educational settings may also have negative consequences. This quantitative survey research study aimed to identify how school based agricultural education (SBAE) teachers are currently using AI and what they already know about it, what beliefs and attitudes they have towards it, and what professional development needs exist. This research was guided by the Technology Acceptance Model (TAM) framework. The population for this study was all SBAE teachers in Utah during the 2023-2024 school year. A total of 70 SBAE teachers participated in the study. Findings suggest that SBAE teachers have mixed feelings about AI. Although some already integrate the technology into their teaching practices, others may have specific barriers keeping them from adopting it. Currently, teachers using AI in the classroom primarily leverage it to save time on administrative tasks and content development. It is worth noting that most of the concerns and specific professional development needs of SBAE teachers relate to students' use of AI and the use of AI around students. It is recommended that state staff provide training related to AI for in-service teachers and that university teacher education programs add curriculum or training related to AI for pre-service teachers. It is also recommended that more research related to AI in agricultural education be conducted.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1480203
Database: ERIC
FullText Text:
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PubType: Academic Journal
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  Data: Examining AI Perceptions and Utilization among Agricultural Educators in Utah
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  Data: <searchLink fieldCode="AR" term="%22Sidney+Pehrson%22">Sidney Pehrson</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0007-2467-9459">0009-0007-2467-9459</externalLink>)<br /><searchLink fieldCode="AR" term="%22Tyson+J%2E+Sorensen%22">Tyson J. Sorensen</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-2103-1669">0000-0003-2103-1669</externalLink>)<br /><searchLink fieldCode="AR" term="%22Matthew+J%2E+Wood%22">Matthew J. Wood</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-3974-2282">0000-0003-3974-2282</externalLink>)<br /><searchLink fieldCode="AR" term="%22Michelle+S%2E+Burrows%22">Michelle S. Burrows</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-0523-9582">0000-0003-0523-9582</externalLink>)<br /><searchLink fieldCode="AR" term="%22Joseph+Furse%22">Joseph Furse</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0001-1386-126X">0009-0001-1386-126X</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Agricultural+Education%22"><i>Journal of Agricultural Education</i></searchLink>. 2025 66(3).
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  Data: American Association for Agricultural Education. P.O. Box 7607, Department of Agricultural and Extension Education, Raleigh, NC 27695. Web site: https://jae-online.org/index.php/jae/index
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  Data: 17
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Attitudes%22">Teacher Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+Education%22">Agricultural Education</searchLink><br /><searchLink fieldCode="DE" term="%22Agriculture+Teachers%22">Agriculture Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink><br /><searchLink fieldCode="DE" term="%22Intention%22">Intention</searchLink><br /><searchLink fieldCode="DE" term="%22Faculty+Development%22">Faculty Development</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Characteristics%22">Teacher Characteristics</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Utah%22">Utah</searchLink>
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  Data: 10.5032/jae.v66i3.2910
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  Data: 1042-0541<br />2162-5212
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  Data: Artificial Intelligence (AI) has garnered attention as an innovative technology, revolutionizing various components of society, including education. The new technology can potentially improve efficiency and reduce burdens placed on teachers, but AI in educational settings may also have negative consequences. This quantitative survey research study aimed to identify how school based agricultural education (SBAE) teachers are currently using AI and what they already know about it, what beliefs and attitudes they have towards it, and what professional development needs exist. This research was guided by the Technology Acceptance Model (TAM) framework. The population for this study was all SBAE teachers in Utah during the 2023-2024 school year. A total of 70 SBAE teachers participated in the study. Findings suggest that SBAE teachers have mixed feelings about AI. Although some already integrate the technology into their teaching practices, others may have specific barriers keeping them from adopting it. Currently, teachers using AI in the classroom primarily leverage it to save time on administrative tasks and content development. It is worth noting that most of the concerns and specific professional development needs of SBAE teachers relate to students' use of AI and the use of AI around students. It is recommended that state staff provide training related to AI for in-service teachers and that university teacher education programs add curriculum or training related to AI for pre-service teachers. It is also recommended that more research related to AI in agricultural education be conducted.
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  Data: 2025
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        Value: 10.5032/jae.v66i3.2910
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      – Text: English
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        PageCount: 17
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      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Teacher Attitudes
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Agricultural Education
        Type: general
      – SubjectFull: Agriculture Teachers
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      – SubjectFull: Barriers
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      – SubjectFull: Intention
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      – SubjectFull: Faculty Development
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      – SubjectFull: Teacher Characteristics
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      – SubjectFull: Utah
        Type: general
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      – TitleFull: Examining AI Perceptions and Utilization among Agricultural Educators in Utah
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