Year: 2024
Type: article
Abstract: Amidst rapid advancements in artificial intelligence (AI), acquiring AI-related skills has become essential for societal development. Assessing the public’s AI literacy is thus critical for enhancing overall societal competitiveness. This study aimed to develop an evaluation index system for measuring public AI literacy, encompassing five dimensions with 15 specific indicators: application ability, cognitive ability, morality, critical thinking, and self-efficacy. Data were collected through surveys, and quantitative analysis validated the system’s rationality. The constructed AI literacy measurement tool provides a reliable foundation for evaluating core competencies in the AI era, filling a research gap with practical and theoretical significance.
Authors: Yalan Nong, Junjing Cui, Yunkun He, Peng Zhang, Tong Zhang
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4405200922