Multinational validation of the Arabic version of the Artificial Intelligence Literacy Scale (AILS) in university students

IF 1.6 Q2 PSYCHOLOGY, MULTIDISCIPLINARY

Cogent Psychology Pub Date : 2024-09-04 DOI:10.1080/23311908.2024.2395637

Eva Hobeika, Rabih Hallit, Diana Malaeb, Fouad Sakr, Mariam Dabbous, Nisma Merdad, Tabassum Rashid, Rizwana Amin, Kamel Jebreen, Btissame Zarrouq, Amthal Alhuwailah, Hanaa Ahmed Mohamed Shuwiekh, Souheil Hallit, Sahar Obeid, Feten Fekih-Romdhane

引用次数: 0

Abstract

No Arabic validated scale is available to date to measure AI literacy. The current study aimed to evaluate the psychometric properties of a first Arabic translation of the Artificial Intelligence L...

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阿拉伯语版人工智能素养量表（AILS）在大学生中的多国验证

迄今为止，还没有经过验证的阿拉伯语量表可用于测量人工智能素养。本研究旨在评估人工智能扫盲量表首个阿拉伯语译本的心理测量特性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cogent Psychology PSYCHOLOGY, MULTIDISCIPLINARY-

CiteScore

2.90

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： One of the largest multidisciplinary open access journals serving the psychology community, Cogent Psychology provides a home for scientifically sound peer-reviewed research. Part of Taylor & Francis / Routledge, the journal provides authors with fast peer review and publication and, through open access publishing, endeavours to help authors share their knowledge with the world. Cogent Psychology particularly encourages interdisciplinary studies and also accepts replication studies and negative results. Cogent Psychology covers a broad range of topics and welcomes submissions in all areas of psychology, ranging from social psychology to neuroscience, and everything in between. Led by Editor-in-Chief Professor Peter Walla of Webster Private University, Austria, and supported by an expert editorial team from institutions across the globe, Cogent Psychology provides our authors with comprehensive and quality peer review. Rather than accepting manuscripts based on their level of importance or impact, editors assess manuscripts objectively, accepting valid, scientific research with sound rigorous methodology. Article-level metrics let the research speak for itself.