Examinsight: An AI-based Exam Performance Analytics and Feedback System for Improving Academic Outcomes of First Year Education Students at SEAIT

This study focused on Improving Academic Performance and Test Preparedness of First-Year Students at SEAIT. Exam Lens, an AI-powered system designed to assist students in exam preparation and attain better academic achievements in the learning analytics, was reviewed in this study. Exam Lens was primarily designed for first year education students at South East Asian Institute of Technology Incorporated (SEAIT). A descriptive research design was used to evaluate the system’s usability, functionality. Data were collected from 100 first-year education students through survey questionnaires and feedback forms, and analyzed using descriptive statistics to determine the performance of the Exam Lens system. Findings revealed that with an overall System Usability Scale (SUS) score of 63%. It was demonstrated that the combination of analytics and AI in Exam Lens provides assistance in exam. Educational outcomes can be improved by integrating AI powered systems and analytics. These results indicates that Exam Lens improve academic performance of the First Year Education Students. In conclusion, Exam Lens is valued for being supportive and engaging in exam preparation. This study shows how an artificial intelligence powered tool can improve the learning process through clear feedback and personalized recommendations. Exam Lens can also be further improved in the future with enhancements in navigation, speed, and continued student feedback.