Developing and validating an AI literacy scale for university students in Vietnam

This study addresses the increasing role of artificial intelligence in higher education by developing a self-assessment instrument for artificial intelligence literacy among university students in Vietnam. Three primary dimensions of artificial intelligence literacy were identified: understanding, application, and ethics and responsibility. The scale was tested using data collected from 843 university students. Exploratory factor analysis was conducted on a sample of 420 students to explore the structure of the scale, and confirmatory factor analysis was carried out on a separate sample of 423 students to validate the tool. The analysis results showed that the final questionnaire demonstrated high reliability and validity; it comprised 26 items and the Cronbach's alpha coefficients for each dimension exceeded .886. This instrument not only supports the evaluation of students’ artificial intelligence literacy but also aids universities in designing appropriate training programs, thereby enhancing students’ awareness and ability to apply artificial intelligence in a creative and responsible manner.

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Publication Details

Journal
IFLA Journal
Published
2025-10-22
DOI
https://doi.org/10.1177/03400352251385058
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
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article

Developing and validating an AI literacy scale for university students in Vietnam

Hung Van Do, Hai Thi Nguyen, Thuy Thanh Bui, Duc H. Tran et al.
1 citations
IFLA Journal
Online Learning and Analytics
1.69
article

Developing and validating an AI literacy scale for university students in Vietnam

Hung Van Do, Hai Thi Nguyen, Thuy Thanh Bui, Duc H. Tran, Ly Dieu Dinh
article en
1 citations

Abstract

This study addresses the increasing role of artificial intelligence in higher education by developing a self-assessment instrument for artificial intelligence literacy among university students in Vietnam. Three primary dimensions of artificial intelligence literacy were identified: understanding, application, and ethics and responsibility. The scale was tested using data collected from 843 university students. Exploratory factor analysis was conducted on a sample of 420 students to explore the structure of the scale, and confirmatory factor analysis was carried out on a separate sample of 423 students to validate the tool. The analysis results showed that the final questionnaire demonstrated high reliability and validity; it comprised 26 items and the Cronbach's alpha coefficients for each dimension exceeded .886. This instrument not only supports the evaluation of students’ artificial intelligence literacy but also aids universities in designing appropriate training programs, thereby enhancing students’ awareness and ability to apply artificial intelligence in a creative and responsible manner.

IFLA Journal
Vietnam National University, Hanoi (VN)
Openalex Percentile: Top 9%
Online Learning and Analytics
1.69
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