View in EDS

Exploring the Nexus of Students' Attitudes toward AI in Academic Tasks and Academic Integrity Awareness: A Mixed-Methods Study

Saved in:
Bibliographic Details
Title: Exploring the Nexus of Students' Attitudes toward AI in Academic Tasks and Academic Integrity Awareness: A Mixed-Methods Study
Language: English
Authors: Rabab M. Alareifi (ORCID 0009-0006-6113-3538)
Source: International Journal of Technology in Education. 2026 9(1):18-42.
Availability: International Society for Technology, Education, and Science. ISTES Organization, Monument, CO 80132. e-mail: istesorganization@gmail.com; e-mail: ijteoffice@gmail.com; Web site: https://www.ijte.net/index.php/ijte/about
Peer Reviewed: Y
Page Count: 25
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Foreign Countries, Higher Education, Undergraduate Students, Graduate Students, Student Attitudes, Artificial Intelligence, Integrity, Computer Attitudes, Computer Uses in Education, Educational Technology, Correlation, Usability
Geographic Terms: Saudi Arabia
ISSN: 2689-2758
Abstract: The widespread adoption of Artificial Intelligence (AI), with its high accessibility, has led to a significant rise in its use in academia, raising significant concerns related to academic integrity, which is imperative for promoting sustainable learning practices. However, there is a critical need for studies exploring students' attitudes toward AI in relation to academic integrity awareness. This study aimed to examine higher education students' attitudes and academic integrity awareness regarding AI use in academic tasks and explore their correlation. Moreover, this study utilizes the Theory of Planned Behavior. A convergent parallel mixed-methods design, including a questionnaire (n = 248) and a focus group discussion (n = 8), was employed. The findings revealed that students had positive attitudes but low academic integrity awareness related to AI use in academia. Moreover, they showed a positive but weak relationship between these variables. This indicates that the more students are exposed to descriptions of "ethical AI use" that decrease violations of academic integrity, the more likely they are to utilize AI in academia. Additionally, it suggests that factors other than integrity awareness might play a bigger role in shaping students' attitudes. Recommendations and implications are discussed.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1494239
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1494239
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1494239
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Exploring the Nexus of Students' Attitudes toward AI in Academic Tasks and Academic Integrity Awareness: A Mixed-Methods Study
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Rabab+M%2E+Alareifi%22">Rabab M. Alareifi</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0006-6113-3538">0009-0006-6113-3538</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Technology+in+Education%22"><i>International Journal of Technology in Education</i></searchLink>. 2026 9(1):18-42.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: International Society for Technology, Education, and Science. ISTES Organization, Monument, CO 80132. e-mail: istesorganization@gmail.com; e-mail: ijteoffice@gmail.com; Web site: https://www.ijte.net/index.php/ijte/about
– 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: 2026
– 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="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Graduate+Students%22">Graduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Integrity%22">Integrity</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Attitudes%22">Computer Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Uses+in+Education%22">Computer Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Usability%22">Usability</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Saudi+Arabia%22">Saudi Arabia</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2689-2758
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The widespread adoption of Artificial Intelligence (AI), with its high accessibility, has led to a significant rise in its use in academia, raising significant concerns related to academic integrity, which is imperative for promoting sustainable learning practices. However, there is a critical need for studies exploring students' attitudes toward AI in relation to academic integrity awareness. This study aimed to examine higher education students' attitudes and academic integrity awareness regarding AI use in academic tasks and explore their correlation. Moreover, this study utilizes the Theory of Planned Behavior. A convergent parallel mixed-methods design, including a questionnaire (n = 248) and a focus group discussion (n = 8), was employed. The findings revealed that students had positive attitudes but low academic integrity awareness related to AI use in academia. Moreover, they showed a positive but weak relationship between these variables. This indicates that the more students are exposed to descriptions of "ethical AI use" that decrease violations of academic integrity, the more likely they are to utilize AI in academia. Additionally, it suggests that factors other than integrity awareness might play a bigger role in shaping students' attitudes. Recommendations and implications are discussed.
– 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: EJ1494239
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1494239
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 18
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Undergraduate Students
        Type: general
      – SubjectFull: Graduate Students
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Integrity
        Type: general
      – SubjectFull: Computer Attitudes
        Type: general
      – SubjectFull: Computer Uses in Education
        Type: general
      – SubjectFull: Educational Technology
        Type: general
      – SubjectFull: Correlation
        Type: general
      – SubjectFull: Usability
        Type: general
      – SubjectFull: Saudi Arabia
        Type: general
    Titles:
      – TitleFull: Exploring the Nexus of Students' Attitudes toward AI in Academic Tasks and Academic Integrity Awareness: A Mixed-Methods Study
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rabab M. Alareifi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2689-2758
          Numbering:
            – Type: volume
              Value: 9
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: International Journal of Technology in Education
              Type: main
ResultId 1