Assessing AI literacy of university students in Pakistan: a cross-sectional survey

Purpose This study aims to assess university students’ proficiency across the four measured core constructs of artificial intelligence (AI) literacy, specifically to understand awareness, usage, evaluation and ethics. It also enlists their choices of frequently used AI tools. Design/methodology/approach A cross-sectional survey approach was used to assess the university students’ AI literacy. A structured questionnaire was adopted and data were collected from 733 university students enrolled in five major academic disciplines. Findings The findings revealed that university students had a moderate level of AI literacy, with no significant differences by program level or gender. However, statistically significant differences were found across academic disciplines, with students from the computer and technology discipline demonstrating a higher level of AI literacy. Originality/value This study offers unique insights into AI literacy among university students, focusing on their ability to understand, evaluate and engage responsibly with AI technologies from a developing country’ perspective. The findings contribute to shaping educational strategies and policies that strengthen these essential skills, enabling students to adapt to technological changes and make informed decisions. Moreover, the study emphasizes the importance of cultivating ethical awareness and integrating AI literacy across disciplines to prepare learners for active participation in an AI-driven society.

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Publication Details

Journal
Digital Library Perspectives
Published
2025-11-10
DOI
https://doi.org/10.1108/dlp-06-2025-0094
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing AI literacy of university students in Pakistan: a cross-sectional survey

Khalid Mahmood, Fawzia Butt, Amara Malik
Digital Library Perspectives
Teaching and Learning Programming
article

Assessing AI literacy of university students in Pakistan: a cross-sectional survey

Khalid Mahmood, Fawzia Butt, Amara Malik
article en

Abstract

Purpose This study aims to assess university students’ proficiency across the four measured core constructs of artificial intelligence (AI) literacy, specifically to understand awareness, usage, evaluation and ethics. It also enlists their choices of frequently used AI tools. Design/methodology/approach A cross-sectional survey approach was used to assess the university students’ AI literacy. A structured questionnaire was adopted and data were collected from 733 university students enrolled in five major academic disciplines. Findings The findings revealed that university students had a moderate level of AI literacy, with no significant differences by program level or gender. However, statistically significant differences were found across academic disciplines, with students from the computer and technology discipline demonstrating a higher level of AI literacy. Originality/value This study offers unique insights into AI literacy among university students, focusing on their ability to understand, evaluate and engage responsibly with AI technologies from a developing country’ perspective. The findings contribute to shaping educational strategies and policies that strengthen these essential skills, enabling students to adapt to technological changes and make informed decisions. Moreover, the study emphasizes the importance of cultivating ethical awareness and integrating AI literacy across disciplines to prepare learners for active participation in an AI-driven society.

Digital Library PerspectivesVol. 42(1)
University of the Punjab (PK), Lahore University of Management Sciences (PK)
Openalex Percentile: Top 64%
Teaching and Learning Programming
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