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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| Items | – Name: Title Label: Title Group: Ti Data: The Role of Generative AI in Enhancing or Undermining Autonomous Learning in Higher Education – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rizwan+Shoukat%22">Rizwan Shoukat</searchLink><br /><searchLink fieldCode="AR" term="%22Khalida+Parveen%22">Khalida Parveen</searchLink><br /><searchLink fieldCode="AR" term="%22Ashraf+Iqbal%22">Ashraf Iqbal</searchLink><br /><searchLink fieldCode="AR" term="%22Muhammad+Shafiq%22">Muhammad Shafiq</searchLink><br /><searchLink fieldCode="AR" term="%22Huang+Qibing%22">Huang Qibing</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Educators+Online%22"><i>Journal of Educators Online</i></searchLink>. 2026 23(1). – Name: Avail Label: Availability Group: Avail 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 – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 14 – 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="%22Higher+Education%22">Higher Education</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="%22Personal+Autonomy%22">Personal Autonomy</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Independent+Study%22">Independent Study</searchLink><br /><searchLink fieldCode="DE" term="%22Barriers%22">Barriers</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Universities%22">Universities</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Masters+Programs%22">Masters Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Doctoral+Students%22">Doctoral Students</searchLink><br /><searchLink fieldCode="DE" term="%22Graduate+Students%22">Graduate Students</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Pakistan%22">Pakistan</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1547-500X – Name: Abstract Label: Abstract Group: Ab 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'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. – 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: EJ1499290 |
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| RecordInfo | BibRecord: BibEntity: 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 Type: general – SubjectFull: Universities Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Masters Programs Type: general – SubjectFull: Doctoral Students Type: general – SubjectFull: Graduate Students Type: general – SubjectFull: Pakistan Type: general Titles: – TitleFull: The Role of Generative AI in Enhancing or Undermining Autonomous Learning in Higher Education Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rizwan Shoukat – PersonEntity: Name: NameFull: Khalida Parveen – PersonEntity: Name: NameFull: Ashraf Iqbal – PersonEntity: Name: NameFull: Muhammad Shafiq – PersonEntity: Name: NameFull: Huang Qibing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1547-500X Numbering: – Type: volume Value: 23 – Type: issue Value: 1 Titles: – TitleFull: Journal of Educators Online Type: main |
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