Scientific Culture
Published February 8, 2025 | Version v1
Journal article Open

CROSS-CULTURAL VALIDATION OF THE ARTIFICIAL INTELLIGENCE ANXIETY SCALE

Authors/Creators

  • 1. 1Department of Classroom Teacher, Faculty of Educational Sciences, Zarqa University, Jordan. Email: rmomani@zu.edu.jo
  • 2. 2Department of Classroom Teacher, Faculty of Educational Sciences, Zarqa University, Jordan. Email: smusleh@zu.edu.jo
  • 3. 3Department of Educational Sciences, Ajloun University College, Al-Balqa, Applied University, Jordan. Email: salem.algharibeh@bau.edu.jo
  • 4. 4Faculty of Educational Sciences, Zarqa University, Zarqa, Jordan. Email: rmawadieh@zu.edu.jo
  • 5. 5Faculty of Educational Sciences, Zarqa University, Zarqa, Jordan. Email: halsabatin@zu.edu.jo
  • 6. 6Department of Classroom Teacher, Faculty of Educational Sciences, Zarqa University, Jordan. Email: ajaafreh@zu.edu.jo
  • 7. Zarqa University, Jordan. Email: lfakhir@zu.edu.jo
  • 8. Accounting, Finance and Banking Department, Ahlia University, Bahrain. Email: amasartawi@hotmail.com
  • 9. University of Business & Technology Academy, University of Business & Technology, Saudi Arabia. Email: w.nureldeen@ubt.edu.sa

Description

ABSTRACT

The Artificial Intelligence Anxiety Scale (AIAS), introduced by Wang and Wang in 2019, was designed to assess the fundamental elements and internal aspects of anxiety associated with artificial intelligence. It was founded based on prior research with computer and robotic fear. Nonetheless, the initial scale was constructed using a Taiwanese sample with unique attributes. The results of the exploratory factor analysis indicated a four-component structure, including a general anxiety factor. The present study conducted a cross-cultural adaption of the AIAS by administering it to 256 students from several Arab nations. The Confirmatory Factor Analysis results indicated that the Arabic version has only three factors, with the learning dimension exhibiting a weak loading, leading to its elimination; hence, the final Arabic AIAS version consists of 13 items.

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