Motivations of Media Students to Adopt AI in Practical Courses

Abstract

The article aimed to reveal the motivations of media students to adopt artificial intelligence applications in practical courses, and a case study was conducted by students in the College of Media at Middle East University in Jordan. This study belongs to the descriptive, interpretive studies using the survey method. The results showed that most artificial intelligence applications that media students depend on the applications that are used in video production and image and sound montage operations and that the general arithmetic mean for the reasons for the reliance of media students on artificial intelligence applications in their practical courses was high (3.67), and that there are statistically significant differences due to specialization, and the journalism and media specialization was the highest among the rest of the specializations. There are statistically significant differences due to students with excellent averages in behavioral and cognitive motivations. The study recommends starting to introduce artificial intelligence applications into scientific courses in media colleges so that they can be used to highlight the thinking and creativity skills of students in producing media content and put forth ethical rules that govern dealing with artificial intelligence applications as a course of study that students deal with within the rules. Moreover, laws keep them away from ethical transgressions, whether producing film content or writing and editing texts.