The Impact of AI Literacy on Undergraduate Autonomous Learning
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| Title: | The Impact of AI Literacy on Undergraduate Autonomous Learning |
|---|---|
| Language: | English |
| Authors: | Koravick Thiangtham, Ratima Singhachotsukpat, Cattareya Wilepana, Noawanit Songkram, Jintavee Khlaisang |
| Source: | Electronic Journal of e-Learning. 2026 24(2):32-46. |
| Availability: | Academic Conferences Limited. Curtis Farm, Kidmore End, Nr Reading, RG4 9AY, UK. Tel: +44-1189-724148; Fax: +44-1189-724691; e-mail: info@academic-conferences.org; Web site: https://academic-publishing.org/index.php/ejel/index |
| Peer Reviewed: | Y |
| Page Count: | 15 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Undergraduate Students, Independent Study, Digital Literacy, Self Management, Self Efficacy, Foreign Countries, Influences, Critical Thinking, Student Attitudes, Personal Autonomy, Technology Uses in Education |
| Geographic Terms: | Thailand |
| ISSN: | 1479-4403 |
| Abstract: | This study explores the factors driving autonomous learning (AU) among undergraduate students in AI-enhanced education. It specifically examines the role of AI literacy (AI-L), critical thinking (CT), self-regulation (SR), and self-efficacy (SE). Data collected from Thai university students were analyzed using Structural Equation Modeling (SEM). The results show that AI-L demonstrated a strong and significant positive influence on all three mediating variables--SE (β = 0.99, t = 20.00), SR (β = 0.93, t = 18.53), and CT (β = 0.70, t = 7.30). SE exerted as the most powerful predictor of AU (β = 0.52, t = 6.38), while critical thinking had a smaller direct impact. The findings suggest that AI-L is a foundational competency that requires metacognitive support. Consequently, educators should utilize strategies like blended learning and reflective practice. These insights encourage a learner-centered approach to digital education, fostering future-ready, autonomous learners. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1504667 |
| Database: | ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: The Impact of AI Literacy on Undergraduate Autonomous Learning – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Koravick+Thiangtham%22">Koravick Thiangtham</searchLink><br /><searchLink fieldCode="AR" term="%22Ratima+Singhachotsukpat%22">Ratima Singhachotsukpat</searchLink><br /><searchLink fieldCode="AR" term="%22Cattareya+Wilepana%22">Cattareya Wilepana</searchLink><br /><searchLink fieldCode="AR" term="%22Noawanit+Songkram%22">Noawanit Songkram</searchLink><br /><searchLink fieldCode="AR" term="%22Jintavee+Khlaisang%22">Jintavee Khlaisang</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Electronic+Journal+of+e-Learning%22"><i>Electronic Journal of e-Learning</i></searchLink>. 2026 24(2):32-46. – Name: Avail Label: Availability Group: Avail Data: Academic Conferences Limited. Curtis Farm, Kidmore End, Nr Reading, RG4 9AY, UK. Tel: +44-1189-724148; Fax: +44-1189-724691; e-mail: info@academic-conferences.org; Web site: https://academic-publishing.org/index.php/ejel/index – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 15 – 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="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Independent+Study%22">Independent Study</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+Literacy%22">Digital Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Management%22">Self Management</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Efficacy%22">Self Efficacy</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Influences%22">Influences</searchLink><br /><searchLink fieldCode="DE" term="%22Critical+Thinking%22">Critical Thinking</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+Autonomy%22">Personal Autonomy</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Thailand%22">Thailand</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1479-4403 – Name: Abstract Label: Abstract Group: Ab Data: This study explores the factors driving autonomous learning (AU) among undergraduate students in AI-enhanced education. It specifically examines the role of AI literacy (AI-L), critical thinking (CT), self-regulation (SR), and self-efficacy (SE). Data collected from Thai university students were analyzed using Structural Equation Modeling (SEM). The results show that AI-L demonstrated a strong and significant positive influence on all three mediating variables--SE (β = 0.99, t = 20.00), SR (β = 0.93, t = 18.53), and CT (β = 0.70, t = 7.30). SE exerted as the most powerful predictor of AU (β = 0.52, t = 6.38), while critical thinking had a smaller direct impact. The findings suggest that AI-L is a foundational competency that requires metacognitive support. Consequently, educators should utilize strategies like blended learning and reflective practice. These insights encourage a learner-centered approach to digital education, fostering future-ready, autonomous learners. – 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: EJ1504667 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 32 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Independent Study Type: general – SubjectFull: Digital Literacy Type: general – SubjectFull: Self Management Type: general – SubjectFull: Self Efficacy Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Influences Type: general – SubjectFull: Critical Thinking Type: general – SubjectFull: Student Attitudes Type: general – SubjectFull: Personal Autonomy Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Thailand Type: general Titles: – TitleFull: The Impact of AI Literacy on Undergraduate Autonomous Learning Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Koravick Thiangtham – PersonEntity: Name: NameFull: Ratima Singhachotsukpat – PersonEntity: Name: NameFull: Cattareya Wilepana – PersonEntity: Name: NameFull: Noawanit Songkram – PersonEntity: Name: NameFull: Jintavee Khlaisang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1479-4403 Numbering: – Type: volume Value: 24 – Type: issue Value: 2 Titles: – TitleFull: Electronic Journal of e-Learning Type: main |
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