The development of artificial intelligence has brought significant changes to the field of education, particularly in assessment and testing processes. It is now possible to use algorithms to grade exams, analyze responses, and even evaluate students’ individual skills with greater accuracy and objectivity.<br /><br />AI systems are used to grade multiple-choice tests and essay exams through natural language processing techniques, which reduces human bias and saves teachers considerable time and effort.<br /><br />These systems also assist in analyzing students’ performance patterns over time, identifying strengths and weaknesses, and enabling educators to tailor educational content to individual needs.<br /><br />Through machine learning, the technology can predict future student outcomes and provide recommendations to help them improve academically. These systems can also be integrated into e-learning platforms to monitor and assess student engagement with precision.<br /><br />While these technologies offer substantial benefits, their use requires access to reliable, unbiased data and transparency in how assessment decisions are made. These tools should remain supportive of human judgment rather than replacing it, in order to maintain a balance between accuracy and human-centered evaluation.