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An Academic Text: The Balance between Academic Integrity and Artificial Intelligence

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Title: An Academic Text: The Balance between Academic Integrity and Artificial Intelligence
Language: English
Authors: Lili?a Ruskulis, Rymma Maiboroda, Olena Popova, Inna Rodionova, Olesia Olecsuk, Nataliia Ababilova
Source: Journal of Teaching and Learning. 2026 20(1):137-151.
Availability: Journal of Teaching and Learning. 401 Sunset Ave. Faculty of Education, University of Windsor, Windsor, Ontario, Canada N9B 3P4. Tel: 519-253-3000 Ext. 4068; e-mail: jtl@uwindsor.ca; Web site: https://ojs.uwindsor.ca/index.php/JTL
Peer Reviewed: Y
Page Count: 15
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Academic Language, Writing (Composition), Integrity, Artificial Intelligence, Higher Education, Technology Uses in Education, College Students, College Faculty, Student Attitudes, Teacher Attitudes, Barriers, Plagiarism, Ethics, Foreign Countries
Geographic Terms: Ukraine
ISSN: 1492-1154
1911-8279
Abstract: This paper focuses on the connection between academic writing, academic integrity, and the fact that the application of artificial intelligence (AI) technologies in higher education is rapidly expanding, paying attention to the fundamental issue of the increasing reliance of students on AI-based technologies and the associated threat to the ethical conduct of scholarly activities. It is supported by the need to balance the pedagogical opportunities of AI with the preservation of critical thinking, originality, and responsible authorship in academic writing. In a qualitative study with a mixed design consisting of theoretical analysis, survey of students (n=248) and unstructured interviews of faculty (n=28), the authors establish the common patterns of AI use, perceptions of the students about integrity violation and the concerns of the teaching professionals about the disappearance of analytical and critical skills. The results indicate that, although AI makes academic work more accessible, personalized, and efficient, overreliance on generative systems leads to reduced cognitive effort, accidental plagiarism, and gray morality. The paper suggests a systematic, ethically aware approach to the integration of AI into higher education, with a focus on cultivating academic literacy, clearly defined institutional policies, and the pedagogic integration of AI use while preserving academic integrity standards.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1494669
Database: ERIC
FullText Text:
  Availability: 0
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  Data: An Academic Text: The Balance between Academic Integrity and Artificial Intelligence
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  Data: <searchLink fieldCode="AR" term="%22Lili%3Fa+Ruskulis%22">Lili?a Ruskulis</searchLink><br /><searchLink fieldCode="AR" term="%22Rymma+Maiboroda%22">Rymma Maiboroda</searchLink><br /><searchLink fieldCode="AR" term="%22Olena+Popova%22">Olena Popova</searchLink><br /><searchLink fieldCode="AR" term="%22Inna+Rodionova%22">Inna Rodionova</searchLink><br /><searchLink fieldCode="AR" term="%22Olesia+Olecsuk%22">Olesia Olecsuk</searchLink><br /><searchLink fieldCode="AR" term="%22Nataliia+Ababilova%22">Nataliia Ababilova</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Teaching+and+Learning%22"><i>Journal of Teaching and Learning</i></searchLink>. 2026 20(1):137-151.
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  Data: Journal of Teaching and Learning. 401 Sunset Ave. Faculty of Education, University of Windsor, Windsor, Ontario, Canada N9B 3P4. Tel: 519-253-3000 Ext. 4068; e-mail: jtl@uwindsor.ca; Web site: https://ojs.uwindsor.ca/index.php/JTL
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  Data: 15
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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="%22Academic+Language%22">Academic Language</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+%28Composition%29%22">Writing (Composition)</searchLink><br /><searchLink fieldCode="DE" term="%22Integrity%22">Integrity</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22College+Faculty%22">College Faculty</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Attitudes%22">Teacher Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink><br /><searchLink fieldCode="DE" term="%22Plagiarism%22">Plagiarism</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Ukraine%22">Ukraine</searchLink>
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  Data: 1492-1154<br />1911-8279
– Name: Abstract
  Label: Abstract
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  Data: This paper focuses on the connection between academic writing, academic integrity, and the fact that the application of artificial intelligence (AI) technologies in higher education is rapidly expanding, paying attention to the fundamental issue of the increasing reliance of students on AI-based technologies and the associated threat to the ethical conduct of scholarly activities. It is supported by the need to balance the pedagogical opportunities of AI with the preservation of critical thinking, originality, and responsible authorship in academic writing. In a qualitative study with a mixed design consisting of theoretical analysis, survey of students (n=248) and unstructured interviews of faculty (n=28), the authors establish the common patterns of AI use, perceptions of the students about integrity violation and the concerns of the teaching professionals about the disappearance of analytical and critical skills. The results indicate that, although AI makes academic work more accessible, personalized, and efficient, overreliance on generative systems leads to reduced cognitive effort, accidental plagiarism, and gray morality. The paper suggests a systematic, ethically aware approach to the integration of AI into higher education, with a focus on cultivating academic literacy, clearly defined institutional policies, and the pedagogic integration of AI use while preserving academic integrity standards.
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  Data: 2026
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  Data: EJ1494669
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RecordInfo BibRecord:
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 137
    Subjects:
      – SubjectFull: Academic Language
        Type: general
      – SubjectFull: Writing (Composition)
        Type: general
      – SubjectFull: Integrity
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: College Faculty
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Teacher Attitudes
        Type: general
      – SubjectFull: Barriers
        Type: general
      – SubjectFull: Plagiarism
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      – SubjectFull: Ethics
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Ukraine
        Type: general
    Titles:
      – TitleFull: An Academic Text: The Balance between Academic Integrity and Artificial Intelligence
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              Y: 2026
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              Value: 1492-1154
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              Value: 1911-8279
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