The Impact of AI Literacy on Undergraduate Autonomous Learning

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Bibliographic Details
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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