العوامل المؤثرة على قبول أعضاء هيئة التدريس بكلية الاقتصاد المنزلي لاستخدام الذكاء الاصطناعي لدعم التعليم الجامعي في ضوء النظرية الموحدة لقبول واستخدام التكنولوجيا (UTAUT)‎

Abstract EN

The study aimed to identify the factors affecting the acceptance of faculty members at the Faculty of Home Economics to use artificial intelligence to support university education in the light of the unified theory of acceptance and use of technology (UTAUT)), and to achieve this goal, the descriptive analytical approach was used, and the acceptance scale was prepared, which included three parts, and applied On a sample of (60) faculty members during the second semester of the academic year 2021/2022, Using google models, the results of the study concluded that faculty members have a (high) degree of acceptance of the use of artificial intelligence, and there is a statistically significant correlation between the variables of theory and intention to use, and that (expected performance - expected effort - social impact) - Available facilities) positively affect the members' use of artificial intelligence, in addition to the ence of statistically significant differences in the intention of the sample members due to the variables of specialization, and the presence of statistically significant differences in the intention of the members of the sample due to the degree variable in favor of the degree (teacher).

The study recommended working on creating all conditions that enhance the use of artificial intelligence applications in teaching at the Faculty of Home Economics, and expanding its use based on the acceptance of members.