AIEdutrack: AI-Based Student Assessment and Progress Tracking Application – A Literature Review
Year: 2026
Type: article
Abstract: Students today use digital platforms to access study materials, practise questions and check their learning progress. However, these activities are often managed through different platforms, which can make learning and classroom management less convenient. This paper reviews research on the use of Artificial Intelligence in education, focusing on student assessment, automatic question generation, personalized learning and learning analytics. The reviewed studies discuss techniques such as machine learning, deep learning, natural language processing and large language models. They explain how these techniques can support learning analysis and the preparation of assessment questions. The studies also highlight challenges related to question quality, data availability and the need for human review of AI-generated content. Based on this review, the paper presents AIEdutrack, a proposed application that brings PDF-based study materials, flashcards, quick tests, live quizzes and result tracking together with classroom features. These features include class creation, notes, assignments and announcements. The application also aims to support AI-assisted quiz generation. The proposed system requires further testing in an actual educational environment to evaluate its usefulness for students and teachers.
DOI: 10.64388/ire1724702
Institution: Sanjay Ghodawat Institute
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W7225149152