Smart Feedback Generation: An AI-Based Approach for Real-Time Student Assistance

Abstract

In recent years, the increasing demand for personalized and immediate feedback in educational settings has driven the development of advanced technologies. This paper presents a novel AI-based approach for real-time student assistance through smart feedback generation. The proposed system leverages machine learning algorithms and natural language processing techniques to analyze student performance, identify learning gaps, and provide tailored feedback in real time. The system is designed to support a wide range of educational activities, from formative assessments to continuous learning processes, enhancing student engagement and improving learning outcomes. By integrating adaptive learning paths and intelligent tutoring systems, the solution offers a scalable and efficient way to address the diverse needs of learners. Extensive experiments demonstrate the effectiveness of the proposed approach in various educational scenarios, highlighting its potential to revolutionize the traditional feedback mechanisms in education.