Recently,UAE has adoptedArtificial Intelligence(AI)and e-learning system in several fields including education. Together with the institutions running on conventional educational system, military colleges have also embrassed this new technology. This study assessed the current status of adoption, challenges and strategies of using AI based e-learning system in the UAE military based colleges. The study was carried out based on the perception of the teachers and students of Joint Command and Staff College (JCSC). A set of the questions was presented to the 50 teachers and 157 students for highlighting the level of agreement for each question. The questions were devided into three sections as level of adoption, challenges, and strategies in using AI based e-learning education system. The study found that for current status, AI and e-learning have got siginificant popularity in the education system due to high level of flexibility. While the challenges, the lack of human relations between teacher and student is reported as the major challenge faced in adoption of AI based e-learning system. Finally, for the strategies, the respondents indicated that the UAE is trying to develop plans and alternatives to address the discrepancy between traditional teaching and artificial intelligence methods adapted in the military college. This study provides a valuable source of information for devicing strategies to promote the uses of these modern tools and also motivate the students to get the maximum benefits of AI and e-learning technologies.

This paper focuses on assessing the critical success factors [CSF]in the adoptionofartificial intelligence (AI) technology in E-learning. It is a quantitative assessment study based on the students and teachers’perceptions of United Arab Emirates the Joint Command and Staff College (JCSC). Data was collected using questionnaire survey where the questionnaire was distributed to a total of 240 JCSC students and teachers of the college however only 207 completed forms were received. The questionnaire contained 20 CSF in seven group to investigate the level of importance of each CSF in adopting AI and E-learning using 5-points Likert scale. The data was analysed descriptively using SPSS software package. The results of the analysis found that eighteen of twenty CSFs considered in the investigation are reported as high level of importance. The most important CSF is that “AI systems able to compute big data for improving teaching” with having the highest mean score of 4.04 in adopting AI technology in E-learning for the UAE military colleges. In term of factors’ group, the most important group is “making education more interesting’’ with having mean score of 3.98. however, further analysis found that respondents having higher degree picked personalizationgroup while respondent having a lot of teaching experience respondents picked performance monitoringgroup of factors as the most critical success factors groups. The findings from this study are very helpful in formulating strategies for the promotion of AI advanced technology in the education system and getting its maximum benefits.