Perceived artificial intelligence literacy and employability of university students

Purpose Artificial intelligence (AI) has been used in the workplace for years. There are compulsory or elective AI courses in some universities for students to enroll in. With the wide adoption of AI in many industries now, employers also expect students to make good use of AI to enhance their work productivity and efficiency. Hence, the purpose of this study is to examine the relationship between AI literacy and perceived student employability. Design/methodology/approach The purposive sampling method was used in a higher educational institution in Hong Kong. About 208 valid responses were obtained from university students. Partial least square structured equation modeling was used in the analysis. Findings It was found that acceptance of using AI could be determined by perceived usefulness of AI and trust in AI. Attitude toward AI could be influenced by acceptance of using AI. Attitude toward AI is also found to be associated with AI literacy, which affects internal and external employability. Students with more perceived AI knowledge could find it easier to get jobs. Originality/value This study contributes to a better understanding of the relationship between perceived AI literacy and employability. Higher education should also consider how to prepare students for a new generation of jobs with AI competence as requirements by reassessing their curricula.

Authors

Institutions

Publication Details

Journal
Education + Training
Published
2025-03-26
DOI
https://doi.org/10.1108/et-06-2024-0272
Citations
10
Primary Topic
Higher Education and Employability
Type
article
Field-Weighted Citation Impact
89.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perceived artificial intelligence literacy and employability of university students

Elaine Ah-heung Chan, Jason K. Y. Chan, Helen Wong, Tai Ming Wut
10 citations
Education + Training
Higher Education and Employability
89.26
article

Perceived artificial intelligence literacy and employability of university students

Elaine Ah-heung Chan, Jason K. Y. Chan, Helen Wong, Tai Ming Wut
article en
10 citations

Abstract

Purpose Artificial intelligence (AI) has been used in the workplace for years. There are compulsory or elective AI courses in some universities for students to enroll in. With the wide adoption of AI in many industries now, employers also expect students to make good use of AI to enhance their work productivity and efficiency. Hence, the purpose of this study is to examine the relationship between AI literacy and perceived student employability. Design/methodology/approach The purposive sampling method was used in a higher educational institution in Hong Kong. About 208 valid responses were obtained from university students. Partial least square structured equation modeling was used in the analysis. Findings It was found that acceptance of using AI could be determined by perceived usefulness of AI and trust in AI. Attitude toward AI could be influenced by acceptance of using AI. Attitude toward AI is also found to be associated with AI literacy, which affects internal and external employability. Students with more perceived AI knowledge could find it easier to get jobs. Originality/value This study contributes to a better understanding of the relationship between perceived AI literacy and employability. Higher education should also consider how to prepare students for a new generation of jobs with AI competence as requirements by reassessing their curricula.

Education + TrainingVol. 67(2)
Hong Kong Polytechnic University (HK), Hong Kong Institute of Vocational Education (CN)
Openalex Percentile: Top 0%
Higher Education and Employability
89.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Perceived artificial intelligence literacy and employability of university students — Elaine Ah-heung Chan, Jason K. Y. Chan, et al. · Education + Training (2025) | TGRS Research Map | TGRS