Abstract
This research aims to investigate the impact of artificial intelligence (AI) applications on the performance of academic research activities in universities through a survey-based exploratory study targeting a sample of researchers and academics. The study employed a descriptive analytical approach, using a questionnaire to collect and statistically analyze data. The results indicate that AI significantly enhances the speed and accuracy of research processes and supports data-driven academic decision-making, despite challenges such as limited technical infrastructure and lack of adequate training. The study recommends greater adoption of AI technologies in universities, continuous training programs for researchers, and the development of regulatory frameworks to ensure ethical and effective AI use in academic research.
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