View in EDS

Adoption and Use of Artificial Intelligence Tools in Education: A UTAUT2-Based Study of School and University Students in Surat City

Saved in:
Bibliographic Details
Title: Adoption and Use of Artificial Intelligence Tools in Education: A UTAUT2-Based Study of School and University Students in Surat City
Language: English
Authors: Ananya Mistry, Pratha Jhala, Dhaval Maheta, Ritesh Khatwani
Source: Discover Education. 2025 4.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 25
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, College Students, Open Source Technology, Foreign Countries, Intention, Adoption (Ideas), Usability, Learner Engagement, Habit Formation, Developmentally Appropriate Practices, Electronic Learning
Geographic Terms: India
DOI: 10.1007/s44217-025-00979-5
ISSN: 2731-5525
Abstract: Artificial intelligence is rapidly advancing becoming increasingly pervasive. AI is expected to impact various professional and personal domains. Amidst the various available applications of AI, there are many which can be used in education for writing, correcting grammar, paraphrasing, rewriting, referencing, citation, creating text including creative writing tasks and adaptive writing style modifications. There are tools which help students solve math problems and even write full length essays or answers to questions. All these tools could facilitate education, educators and learners profoundly, provided they are used ethically and wisely. The paper seeks to examine the factors affecting the adaptability of open source or free versions of Artificial Intelligence tools by school and university students between grade 9 to university (age between 14 and 22 years) for their academic work. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model has been deployed for the same. The sample consisted of 165 students from schools as well as university in Surat city using non-probability judgemental technique of sampling. Descriptive research design was deployed. The measurement scale consisted of 27 items of the UTAUT2 scale. Literature review and structural equation modelling using Smart PLS were the methods used for analysis. Path analysis shows that "Habit, Facilitating Conditions, and Social Influence" strongly influence "Behavioural Intention and Use Behaviour." Indirect effect analysis confirms "Behavioural Intention" mediates these relationships. The study finds "Behavioural Intention" (R[superscript 2] = 0.801) and "Use Behaviour" (R[superscript 2] = 0.705) as key mediators of technology adoption among students. "Habit, Facilitating Conditions, and Social Influence" exert the strongest direct influence. The model fit indices confirm robustness, emphasizing "ease of use, enjoyment, and habitual engagement" underscoring the need for tailored strategies in education. Policymakers, educators, and tech providers can enhance students' technology adoption by ensuring "ease of use, adequate support, habit formation, and engaging content." Promoting "social influence, demonstrating learning benefits, and implementing age-appropriate policies" will drive effective and sustained digital learning.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1500333
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1500333
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Adoption and Use of Artificial Intelligence Tools in Education: A UTAUT2-Based Study of School and University Students in Surat City
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ananya+Mistry%22">Ananya Mistry</searchLink><br /><searchLink fieldCode="AR" term="%22Pratha+Jhala%22">Pratha Jhala</searchLink><br /><searchLink fieldCode="AR" term="%22Dhaval+Maheta%22">Dhaval Maheta</searchLink><br /><searchLink fieldCode="AR" term="%22Ritesh+Khatwani%22">Ritesh Khatwani</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Discover+Education%22"><i>Discover Education</i></searchLink>. 2025 4.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 25
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– 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>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <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="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Open+Source+Technology%22">Open Source Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Intention%22">Intention</searchLink><br /><searchLink fieldCode="DE" term="%22Adoption+%28Ideas%29%22">Adoption (Ideas)</searchLink><br /><searchLink fieldCode="DE" term="%22Usability%22">Usability</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Habit+Formation%22">Habit Formation</searchLink><br /><searchLink fieldCode="DE" term="%22Developmentally+Appropriate+Practices%22">Developmentally Appropriate Practices</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1007/s44217-025-00979-5
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2731-5525
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Artificial intelligence is rapidly advancing becoming increasingly pervasive. AI is expected to impact various professional and personal domains. Amidst the various available applications of AI, there are many which can be used in education for writing, correcting grammar, paraphrasing, rewriting, referencing, citation, creating text including creative writing tasks and adaptive writing style modifications. There are tools which help students solve math problems and even write full length essays or answers to questions. All these tools could facilitate education, educators and learners profoundly, provided they are used ethically and wisely. The paper seeks to examine the factors affecting the adaptability of open source or free versions of Artificial Intelligence tools by school and university students between grade 9 to university (age between 14 and 22 years) for their academic work. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model has been deployed for the same. The sample consisted of 165 students from schools as well as university in Surat city using non-probability judgemental technique of sampling. Descriptive research design was deployed. The measurement scale consisted of 27 items of the UTAUT2 scale. Literature review and structural equation modelling using Smart PLS were the methods used for analysis. Path analysis shows that "Habit, Facilitating Conditions, and Social Influence" strongly influence "Behavioural Intention and Use Behaviour." Indirect effect analysis confirms "Behavioural Intention" mediates these relationships. The study finds "Behavioural Intention" (R[superscript 2] = 0.801) and "Use Behaviour" (R[superscript 2] = 0.705) as key mediators of technology adoption among students. "Habit, Facilitating Conditions, and Social Influence" exert the strongest direct influence. The model fit indices confirm robustness, emphasizing "ease of use, enjoyment, and habitual engagement" underscoring the need for tailored strategies in education. Policymakers, educators, and tech providers can enhance students' technology adoption by ensuring "ease of use, adequate support, habit formation, and engaging content." Promoting "social influence, demonstrating learning benefits, and implementing age-appropriate policies" will drive effective and sustained digital learning.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2026
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1500333
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1500333
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s44217-025-00979-5
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Technology Integration
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Open Source Technology
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Intention
        Type: general
      – SubjectFull: Adoption (Ideas)
        Type: general
      – SubjectFull: Usability
        Type: general
      – SubjectFull: Learner Engagement
        Type: general
      – SubjectFull: Habit Formation
        Type: general
      – SubjectFull: Developmentally Appropriate Practices
        Type: general
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: India
        Type: general
    Titles:
      – TitleFull: Adoption and Use of Artificial Intelligence Tools in Education: A UTAUT2-Based Study of School and University Students in Surat City
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ananya Mistry
      – PersonEntity:
          Name:
            NameFull: Pratha Jhala
      – PersonEntity:
          Name:
            NameFull: Dhaval Maheta
      – PersonEntity:
          Name:
            NameFull: Ritesh Khatwani
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2731-5525
          Numbering:
            – Type: volume
              Value: 4
          Titles:
            – TitleFull: Discover Education
              Type: main
ResultId 1