The Role of Generative AI in Enhancing or Undermining Autonomous Learning in Higher Education

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Title: The Role of Generative AI in Enhancing or Undermining Autonomous Learning in Higher Education
Language: English
Authors: Rizwan Shoukat, Khalida Parveen, Ashraf Iqbal, Muhammad Shafiq, Huang Qibing
Source: Journal of Educators Online. 2026 23(1).
Availability: Journal of Educators Online. Grand Canyon University, 23300 West Camelback Road, Phoenix, AZ 85017. e-mail: CIRT@gcu.edu. Web site: https://www.thejeo.com
Peer Reviewed: Y
Page Count: 14
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Higher Education, Artificial Intelligence, Technology Uses in Education, Personal Autonomy, Student Attitudes, Independent Study, Barriers, Foreign Countries, Universities, Undergraduate Students, Masters Programs, Doctoral Students, Graduate Students
Geographic Terms: Pakistan
ISSN: 1547-500X
Abstract: This paper analyses the effect of generative AI on the improvement or deterioration of autonomous learning in higher education. Given that AI tools, such as ChatGPT and DALL-E, are increasingly being incorporated into academic practices, it is vital to understand their effects on student autonomy. The application of SEM and CFA can help to better understand the connections between AI use, student attitude, and dependency. This study had a sample size of 100 higher education students with demographic variability (50% men and 50% women; between the ages of 19 and 32; 48% undergraduate, 32% master's, and 20% PhD students). Results show that intensive AI use develops students' autonomy perceptions (path coefficient = 0.6-0.7, p < 0.05) but negatively relates to autonomy if dependency on AI is overused (path coefficient = -0.5, p < 0.05). Correlation analysis showed a positive relationship between AI usage and attitudes (r = 0.45), but a moderate correlation with dependency (r = 0.40), which brings into question overdependence. The findings, therefore, present a multifaceted role for generative AI in higher education that calls for a balanced usage and guidance at the institutional level.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1499290
Database: ERIC
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  Data: The Role of Generative AI in Enhancing or Undermining Autonomous Learning in Higher Education
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Rizwan+Shoukat%22&quot;&gt;Rizwan Shoukat&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Khalida+Parveen%22&quot;&gt;Khalida Parveen&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Ashraf+Iqbal%22&quot;&gt;Ashraf Iqbal&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Muhammad+Shafiq%22&quot;&gt;Muhammad Shafiq&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Huang+Qibing%22&quot;&gt;Huang Qibing&lt;/searchLink&gt;
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  Data: Journal of Educators Online. Grand Canyon University, 23300 West Camelback Road, Phoenix, AZ 85017. e-mail: CIRT@gcu.edu. Web site: https://www.thejeo.com
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  Data: This paper analyses the effect of generative AI on the improvement or deterioration of autonomous learning in higher education. Given that AI tools, such as ChatGPT and DALL-E, are increasingly being incorporated into academic practices, it is vital to understand their effects on student autonomy. The application of SEM and CFA can help to better understand the connections between AI use, student attitude, and dependency. This study had a sample size of 100 higher education students with demographic variability (50% men and 50% women; between the ages of 19 and 32; 48% undergraduate, 32% master&#39;s, and 20% PhD students). Results show that intensive AI use develops students&#39; autonomy perceptions (path coefficient = 0.6-0.7, p &lt; 0.05) but negatively relates to autonomy if dependency on AI is overused (path coefficient = -0.5, p &lt; 0.05). Correlation analysis showed a positive relationship between AI usage and attitudes (r = 0.45), but a moderate correlation with dependency (r = 0.40), which brings into question overdependence. The findings, therefore, present a multifaceted role for generative AI in higher education that calls for a balanced usage and guidance at the institutional level.
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
    Subjects:
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Personal Autonomy
        Type: general
      – SubjectFull: Student Attitudes
        Type: general
      – SubjectFull: Independent Study
        Type: general
      – SubjectFull: Barriers
        Type: general
      – SubjectFull: Foreign Countries
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      – SubjectFull: Universities
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      – SubjectFull: Undergraduate Students
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      – SubjectFull: Masters Programs
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      – SubjectFull: Doctoral Students
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      – SubjectFull: Graduate Students
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      – SubjectFull: Pakistan
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      – TitleFull: The Role of Generative AI in Enhancing or Undermining Autonomous Learning in Higher Education
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            NameFull: Huang Qibing
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