The Degree of Suitability of a Proposed Training Program Based on the Communication Theory to Employ Faculty Members at the University of Jordan for Artificial Intelligence Applications

Authors

  • Faten Abdalkareem Ahmad A-lsmadi Ministry of Education Education Quality and Accountability Unit \ Jordan
  • Mansour Ahmad Fayyad Al-Wraikat School of Educational Sciences\ The University of Jordan\ Jordan https://orcid.org/0000-0002-6117-1239

DOI:

https://doi.org/10.46515/jaes.v11i1.1844

Keywords:

degree of suitability, training program, communication theory, artificial intelligence, faculty members, University of Jordan

Abstract

The current study aimed to identify the degree of suitability of a proposed training program based on the communication theory to employ faculty members at the University of Jordan for artificial intelligence applications. The descriptive survey methodology was used, a questionnaire tool was developed, which consisted of (33) items, distributed over (5) domains, and its validity and reliability were confirmed. A simple random sample consisting of (332) faculty members was used. The results of the study concluded that the degree of suitability of the proposed training program based on the communication theory to employ artificial intelligence applications as a whole was medium, and the axes were arranged as follows: (training program philosophy, training needs) at a high degree, and (training program design, training program content, and evaluation) at a medium degree.

The study recommended providing supportive training and designing electronic learning environments based on the communicative theory, to enable faculty members to enhance their digital skills and effectively integrate artificial intelligence into teaching and the production of interactive content.

Published

2026-01-24

How to Cite

A-lsmadi, F. A. A., & Al-Wraikat, M. A. F. (2026). The Degree of Suitability of a Proposed Training Program Based on the Communication Theory to Employ Faculty Members at the University of Jordan for Artificial Intelligence Applications. Jordanian Educational Journal, 11(1), 223–248. https://doi.org/10.46515/jaes.v11i1.1844

Issue

Section

Articles