AutoEval An AI-Powered Automated Evaluation System for Continuous Assessment and Feedback in Education
Year: 2025
Type: article
Abstract: Traditional exam-oriented evaluation systems often fail to provide continuous insight into student learning. This paper presents an Automated Evaluation System (AES) that generates topic-aligned quizzes based on teacher schedules, collects student feedback, and analyzes it to evaluate both student progress and teaching effectiveness. Using AI-based quiz generation, flashcards, and feedback analysis, the system enables a holistic assessment approach, reducing reliance on final exams. The paper outlines the system’s architecture, technologies used, design methodology, and results of preliminary testing
DOI: 10.46632/daai/5/1/16
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4413373459