AI-SUPPORTED DIGITAL TRANSFORMATION IN ACADEMIC EVALUATION: A CASE STUDY FROM PALESTINIAN UNIVERSITIES

Abstract

The study's goal is to analyze the role of AI-enabled digital transformations in improving the educational assessment processes for research published at Palestinian universities in order to improve the quality of assessment, automate the processes of arbitration, enhance educational integrity, and study the effects of AI through the assessment of research. A descriptive analytical approach was adopted. The data were analyzed by appropriate statistical methods such as arithmetic mean, standard deviation, and variance analysis. The study results showed that AI-controlled digital changes had a highly significant positive effect in the improved treatment of academic evaluations since all the dimensions scored a high average, indicating the efficiency of AI in developing evaluation processes in higher education. The statistical analyses conducted also indicated that there were no statistically significant differences relevant to the level of importance (α > 0.05%) due to sex, educational qualifications, and experience variables, thus indicating that the effect of artificial intelligence on educational evaluation was similar across all groups.

Regarding the increased training of faculty members and researchers concerning the use of AI in academic evaluation, this study has also recommended increased integration of AI with educational mediation platforms and the development of a clear ethical policy on the use of these techniques. Finally, this study calls upon further investigations into the role of AI in quality analysis and educational innovation cultivation.