Future expectations for faculty roles at Yarmouk University in light of AI-based learning

This study aimed to examine future expectations for faculty roles at Yarmouk University in the context of artificial intelligence (AI)-based learning. Using a descriptive approach, the researchers employed a questionnaire as the primary tool, with a sample of 140 faculty members from the College of Education. Results indicated that the first category, related to teaching methods, received a weighted average of 4.55, indicating strong agreement. Similarly, the second category of communication scored a weighted average of 4.57, which also reflects strong agreement. The third category, focusing on technical performance, achieved a weighted average of 4.59, showing strong agreement, while the fourth category, addressing educational activities, received a weighted average of 4.58, indicating strong agreement. Overall, the combined categories had an average weighted score of 4.58, suggesting strong agreement on the roles of faculty members at Yarmouk University within an AI-based learning environment. Additionally, significant differences emerged among respondents based on gender, college affiliation, and years of experience; however, no significant differences were found based on academic rank.