Year: 2025
Type: article
Study design: Systematic Review
Abstract: Artificial Intelligence (AI) is increasingly transforming education by enabling novel teaching and learning methods. This study examines recent developments in AI applications within everyday educational settings, assessing their impact on instruction, student learning, and administrative processes. A systematic literature review of scholarly sources (2019–2024) was conducted following PRISMA guidelines. The review identified key AI-driven innovations in personalized learning, intelligent tutoring, automated assessment, and virtual assistance. Many studies report that AI tools (e.g., adaptive tutoring systems, chatbots, automated grading) improve student engagement and learning outcomes. For example, AI chatbots can deliver individualized guidance and feedback, adapting explanations to each learner’s needs. Automated analysis of student data facilitates early intervention for struggling students and streamlines routine tasks for educators, such as grading and scheduling. However, challenges remain: equity and bias issues have been noted, and many teachers lack training in effectively integrating AI into curricula.
DOI: 10.64056/4ppeqb91
Authors: Luca Bianchi, Sofia Rossi
Institutions: University of Milan, University of Padua
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4411041633