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Acceptance of Artificial Intelligence Tools among Undergraduates: An Application of the Technology Acceptance Model

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Title: Acceptance of Artificial Intelligence Tools among Undergraduates: An Application of the Technology Acceptance Model
Language: English
Authors: Edwin Osmil Coreas-Flores (ORCID 0000-0003-4380-5602)
Source: Turkish Online Journal of Educational Technology - TOJET. 2026 25(1):170-186.
Availability: Sakarya University. Esentepe Campus, Adapazari 54000, Turkey. Tel: +90-505-2431868; Fax: +90-264-6141034; e-mail: tojet@sakarya.edu.tr; Web site: https://tojet.net/
Peer Reviewed: Y
Page Count: 17
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Correlation, Value Judgment, Intention, Usability, Experience, School Role, Intellectual Disciplines, Foreign Countries, Affordances, Barriers, Student Attitudes
Geographic Terms: El Salvador
ISSN: 1303-6521
2146-7242
Abstract: This study investigated the application of the Technology Acceptance Model (TAM) to assess the acceptance and adoption of Artificial Intelligence tools in educational contexts. The research focused on analyzing the attitudes of university students towards the implementation of AI technologies in teaching and learning processes. Methodology: The study used the TAM theoretical framework, focusing on two main constructs: perceived usefulness and perceived ease of use as predictors of intention to use AI tools in education. Correlational and median difference statistical analyses were applied to examine the relationships between these variables in a sample of students. Key findings: Results revealed significant correlations between "perceived usefulness" and "intention to use AI," as well as between "perceived ease of use" and "behavioural intention." Inferential analysis demonstrates that the external variables "prior experience with technology" and "institutional support" influence "perceived usefulness, perceived ease of use" and "intention to use" AI tools in university higher education. In addition, hierarchical regression was used to analyze the moderation of external variables in the TAM model, finding that previous experience with technology significantly enhances the relationship between perceived usefulness and intention to use ([beta] = 0.35, p = 0.001), increasing the explained variance to 53% in the final model. On the other hand, student participants, grouped into "academic faculties," show significant differences in the perception of the TAM variables. Conclusions: The study confirms the applicability of the TAM model in the educational context for AI technologies, suggesting that both perceived benefits and usability and institutional support are critical factors in promoting the successful adoption of these tools in academic settings.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1497690
Database: ERIC
FullText Text:
  Availability: 0
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  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1497690
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  Data: Acceptance of Artificial Intelligence Tools among Undergraduates: An Application of the Technology Acceptance Model
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  Data: <searchLink fieldCode="AR" term="%22Edwin+Osmil+Coreas-Flores%22">Edwin Osmil Coreas-Flores</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-4380-5602">0000-0003-4380-5602</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Turkish+Online+Journal+of+Educational+Technology+-+TOJET%22"><i>Turkish Online Journal of Educational Technology - TOJET</i></searchLink>. 2026 25(1):170-186.
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  Data: Sakarya University. Esentepe Campus, Adapazari 54000, Turkey. Tel: +90-505-2431868; Fax: +90-264-6141034; e-mail: tojet@sakarya.edu.tr; Web site: https://tojet.net/
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  Data: 17
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  Data: 2026
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Value+Judgment%22">Value Judgment</searchLink><br /><searchLink fieldCode="DE" term="%22Intention%22">Intention</searchLink><br /><searchLink fieldCode="DE" term="%22Usability%22">Usability</searchLink><br /><searchLink fieldCode="DE" term="%22Experience%22">Experience</searchLink><br /><searchLink fieldCode="DE" term="%22School+Role%22">School Role</searchLink><br /><searchLink fieldCode="DE" term="%22Intellectual+Disciplines%22">Intellectual Disciplines</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Affordances%22">Affordances</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22El+Salvador%22">El Salvador</searchLink>
– Name: ISSN
  Label: ISSN
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  Data: 1303-6521<br />2146-7242
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigated the application of the Technology Acceptance Model (TAM) to assess the acceptance and adoption of Artificial Intelligence tools in educational contexts. The research focused on analyzing the attitudes of university students towards the implementation of AI technologies in teaching and learning processes. Methodology: The study used the TAM theoretical framework, focusing on two main constructs: perceived usefulness and perceived ease of use as predictors of intention to use AI tools in education. Correlational and median difference statistical analyses were applied to examine the relationships between these variables in a sample of students. Key findings: Results revealed significant correlations between "perceived usefulness" and "intention to use AI," as well as between "perceived ease of use" and "behavioural intention." Inferential analysis demonstrates that the external variables "prior experience with technology" and "institutional support" influence "perceived usefulness, perceived ease of use" and "intention to use" AI tools in university higher education. In addition, hierarchical regression was used to analyze the moderation of external variables in the TAM model, finding that previous experience with technology significantly enhances the relationship between perceived usefulness and intention to use ([beta] = 0.35, p = 0.001), increasing the explained variance to 53% in the final model. On the other hand, student participants, grouped into "academic faculties," show significant differences in the perception of the TAM variables. Conclusions: The study confirms the applicability of the TAM model in the educational context for AI technologies, suggesting that both perceived benefits and usability and institutional support are critical factors in promoting the successful adoption of these tools in academic settings.
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  Data: EJ1497690
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1497690
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 170
    Subjects:
      – SubjectFull: Undergraduate Students
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Correlation
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      – SubjectFull: Value Judgment
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      – SubjectFull: Intention
        Type: general
      – SubjectFull: Usability
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      – SubjectFull: Experience
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      – SubjectFull: School Role
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      – SubjectFull: Intellectual Disciplines
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Student Attitudes
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      – SubjectFull: El Salvador
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