Artificial Intelligence Literacy and Attitudes: Relations to Age, Gender and Education

Diaconu, Mihai (2025) Artificial Intelligence Literacy and Attitudes: Relations to Age, Gender and Education. [Dataset] (Submitted)

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Abstract

Background: Artificial intelligence (AI) literacy, AI attitudes and the interaction(s) between the two are not properly understood. With widespread AI use, this presents a number of potential problems for researchers and users of AI.

Aims: This study aimed to explore the interaction of age, gender, years of education and AI attitudes with AI literacy.

Methodology: A cross-sectional observational design was used. AI literacy was measured with the 32 item Artificial Intelligence Literacy Questionnaire (AILQ) and AI attitudes were measured with the 20 item General Attitudes towards Artificial Intelligence Scale (GAAIS) which consisted of 2 subscales. The sample consisted of 88 participants.

Statistical analysis: Statistical analysis was performed using IBM SPSS version 29.0.

Results: Only AI attitudes were significantly correlated with AI literacy, AI literacy scores were higher among males than females and lastly the only significant predictors of AI literacy was AI attitudes.

Conclusion: Positive AI attitudes are among the factors that can contribute towards a greater ability to use and evaluate AI which are vital skills in current times, so should be promoted conditionally.

Item Type:	Dataset
Additional Information:	Data file submitted to accompany the following: Diaconu, Mihai (2025) Artificial Intelligence Literacy and Attitudes: Relations to Age, Gender and Education. Undergraduate thesis, Dublin, National College of Ireland, https://norma.ncirl.ie/8929/
Uncontrolled Keywords:	AI literacy; AI attitudes; AILQ; GAAIS
Subjects:	B Philosophy. Psychology. Religion > Psychology Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HQ The family. Marriage. Woman > Gender L Education > LC Special aspects / Types of education > Literacy
Divisions:	School of Business (- 2025) > BA (Honours) in Psychology
Depositing User:	Ciara O'Brien
Date Deposited:	27 Nov 2025 12:18
Last Modified:	27 Nov 2025 12:18
URI:	https://norma.ncirl.ie/id/eprint/8988

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