eStudy: a Novel Human-Centric AI-Based Platform to Customize Educational Contents on the Scholars' Needs

Abstract

Personalized learning enhances student engagement, comprehension, and retention by adapting education to individual needs. Whereas AI offers powerful tools for delivering personalized content through data analysis and adaptive feedback, many current solutions lack a human-centric approach, risking reduced student autonomy and pedagogical misalignment. To address this, eStudy has been developed as an AI-powered educational platform focused on learner agency and inclusivity. It combines automation with reflective learning strategies, offering features such as content summarization, conceptual maps, guided text production, and multi-level text simplification. These tools support diverse learners, including those with specific learning needs or language barriers. Built on advanced large language models, eStudy uses retrieval-augmented generation and prompt engineering to deliver reliable and adaptive content. Grounded in Universal Design for Learning and student-centered principles, it promotes autonomy, metacognition, and meaningful interaction. Early testing shows positive results, positioning eStudy as a promising step toward ethical, effective AI in education.