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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.
Authors: Pehrson, Sidney1 a02320031@usu.edu, Sorensen, Tyson J.2 Tyson.sorensen@usu.edu, Wood, Matthew J.3 Matthew.Wood@laurel.k12.de.us, Burrows, Michelle S.4 Michelle.burrows@usu.edu, Furse, Joseph5 Joseph.furse@usu.edu
Source: Journal of Agricultural Education. 2025, Vol. 66 Issue 3, p1-17. 17p.
Subject Terms: *Artificial intelligence, *Agricultural education, *Teachers, *Continuing education, *Educational technology, Technology Acceptance Model, Public opinion polls
Geographic Terms: Utah
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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Agricultural Education is the property of Journal of Agricultural Education 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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DbLabel: Education Research Complete
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Examining AI Perceptions and Utilization Among Agricultural Educators in Utah.
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  Data: <searchLink fieldCode="AR" term="%22Pehrson%2C+Sidney%22">Pehrson, Sidney</searchLink><relatesTo>1</relatesTo><i> a02320031@usu.edu</i><br /><searchLink fieldCode="AR" term="%22Sorensen%2C+Tyson+J%2E%22">Sorensen, Tyson J.</searchLink><relatesTo>2</relatesTo><i> Tyson.sorensen@usu.edu</i><br /><searchLink fieldCode="AR" term="%22Wood%2C+Matthew+J%2E%22">Wood, Matthew J.</searchLink><relatesTo>3</relatesTo><i> Matthew.Wood@laurel.k12.de.us</i><br /><searchLink fieldCode="AR" term="%22Burrows%2C+Michelle+S%2E%22">Burrows, Michelle S.</searchLink><relatesTo>4</relatesTo><i> Michelle.burrows@usu.edu</i><br /><searchLink fieldCode="AR" term="%22Furse%2C+Joseph%22">Furse, Joseph</searchLink><relatesTo>5</relatesTo><i> Joseph.furse@usu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Agricultural+Education%22">Journal of Agricultural Education</searchLink>. 2025, Vol. 66 Issue 3, p1-17. 17p.
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  Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Agricultural+education%22">Agricultural education</searchLink><br />*<searchLink fieldCode="DE" term="%22Teachers%22">Teachers</searchLink><br />*<searchLink fieldCode="DE" term="%22Continuing+education%22">Continuing education</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Public+opinion+polls%22">Public opinion polls</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Utah%22">Utah</searchLink>
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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. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Agricultural Education is the property of Journal of Agricultural Education 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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        Value: 10.5032/jae.v66i3.2910
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      – Code: eng
        Text: English
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        PageCount: 17
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    Subjects:
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Agricultural education
        Type: general
      – SubjectFull: Teachers
        Type: general
      – SubjectFull: Continuing education
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      – SubjectFull: Educational technology
        Type: general
      – SubjectFull: Technology Acceptance Model
        Type: general
      – SubjectFull: Public opinion polls
        Type: general
      – SubjectFull: Utah
        Type: general
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      – TitleFull: Examining AI Perceptions and Utilization Among Agricultural Educators in Utah.
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            NameFull: Wood, Matthew J.
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              M: 07
              Text: 2025
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              Y: 2025
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