Degree of Use of Cloud Artificial Intelligence in Improving Academic Guidance Systems in Virtual Learning Environments from the Perspective of Faculty Members

The study aimed to assess the extent to which cloud artificial intelligence is used to improve academic guidance systems in virtual learning environments from the perspective of faculty members. It also sought to examine differences in the average scores of the study sample on the questionnaire regarding the use of cloud AI in enhancing academic guidance, based on factors such as gender, years of experience, and the number of AI-related courses taken. The study used the descriptive approach, with the researcher's tool as the study instrument. The sample consisted of 130 faculty members from Al-Baha University, aged between 25 and 40 years, with an average age of 31.76 years and a standard deviation of 3.521 years. The questionnaire was distributed electronically using a secure online data collection platform, making it easily accessible to faculty members across different institutions. This approach facilitated the collection of data from a broad and representative sample, enhancing external validity and the generalizability of the findings. Additionally, participant anonymity was maintained to encourage honest and unbiased responses, contributing to the credibility of the collected data. Results showed that the faculty members' evaluation level was high, with a weighted average of 3.4485 and an arithmetic mean of 137.93. The highest score was for "familiarity with cloud AI application basics" (4.056), followed by "solving academic guidance issues using applications" (4.025), and "employing applications in academic guidance tasks" (3.825). The lowest score was for "security and data protection in cloud AI usage" (1.888). No statistically significant differences were found between faculty scores based on gender. However, significant differences were found based on years of experience and the number of AI-related courses taken. The study recommended promoting cloud AI culture among students and faculty, as well as providing training courses on AI applications and their role in enhancing academic guidance.