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Artificial Intelligence: Faculty Awareness and Impact on Digital Transformation Skills and Technological Trends

  • Abdellateef Abdelhafez Alqawasmi
  • , Najeh Rajeh Alsalhi
  • , Mohd Elmagzoub Eltahir
  • , Bushra Ahmad Alakashee
  • , Sami Al-Qatawneh
  • , Ali Ahmad Al-Barakat
  • , Samih Mahmoud Al Karasneh
  • Al Ain University of Science and Technology
  • University of Sharjah

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background/purpose. As artificial intelligence (AI) continues to reshape educational landscapes, understanding faculty awareness and readiness is crucial for effective AI integration in higher education. This study examines AI awareness among faculty members at a university in the United Arab Emirates (UAE) and its relationship with digital transformation skills and technological and scientific trends. Materials/methods. A descriptive-correlational research design was employed, surveying 248 faculty members (62.3% of total staff) using a simple random sampling technique. The study employed the Digital Transformation Skills Scale (DTS) and the Technological and Scientific Trends Scale (TSS) to investigate the associations with AI awareness. Faculty perceptions were assessed using a five-point Likert scale, and statistical analysis included Pearson correlation tests to determine relationships among variables. Results. Findings indicated that faculty members demonstrated moderate AI awareness (mean = 3.06) on the Likert scale. No significant correlation was found between AI awareness and DTS (r = 0.142, p = 0.195), suggesting that digital transformation skills alone may not predict AI awareness. However, a significant positive correlation was identified between AI awareness and TSS (r = 0.598, p < 0.01), indicating that faculty with greater awareness of technological and scientific trends are more knowledgeable about AI. Conclusion. The findings highlight the necessity for faculty development focused on AI to improve competency and facilitate digital transformation. Future research should investigate institutional policies, faculty attitudes, and specific factors related to disciplines in AI adoption.

Original languageEnglish
Article numbere2025327
JournalEducational Process: International Journal
Volume17
DOIs
StatePublished - 2025

Keywords

  • Ajman University
  • Artificial intelligence integration
  • Data-driven curriculum
  • Digital transformation competencies
  • Higher education institutions

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