Investigating the acceptance of applying chat-bot (Artificial intelligence) technology among higher education students in Egypt

Chat-bot as an (AI) technology has taken great attention in recent years and especially in the education sector. before applying such new technology. it is vital to Understand the determinates that affect the behaviour intention for a student to accept or reject this technology in higher education, to understand this behaviour intension, the current research applied the unified theory of acceptance and use of technology (UTAUT) with excluding for two moderators from the original model which are experience and Voluntariness of use. Additionally, this research excluded facilitating conditions and behaviour use as it aimed to investigate only the intension behaviour of the students. This study also aimed to examine the role of demographic factors (gender and age) effect on the model research independent variables and the behaviour intension variable. Therefore, the researcher put the objectives of the study that are represented in, developing a framework for the acceptance of chat-bot technology on the behaviour intension of students in higher education in Egypt. To achieve these objectives, the researcher collects data about the required variables by making a questionnaire. This questionnaire targeted students at the Arab academy for science and technology and maritime transport (AASTMT). AASTMT was selected because it represents one of the oldest private universities in Egypt that apply artificial intelligence technology in its educational system. The final sample consisted of 385 responses. data were analyzed through data testing, descriptive analysis, correlations, regression, and structural equation modelling (SEM). Results indicated a significant impact of performance expectancy, effort expectancy and social influence on students' behaviour intention to accept the chat-bot technology in their higher education in Egypt. Moreover, the results have shown that there is no moderating role of demographic factors (gender and age) proved in the relation between performance expectancy, effort expectancy, social influence, and behaviour intention