The Role of Artificial Intelligence in Everyday Applications in Education

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.

Authors

Publication Details

Journal
International Journal of Emerging Trends in Information Technology (IJEIT)
Published
2025-04-24
DOI
https://doi.org/10.64056/4ppeqb91
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Artificial Intelligence in Everyday Applications in Education

Luigi Bianchi, Stefano Rossi
International Journal of Emerging Trends in Information Technology (IJEIT)
Online Learning and Analytics
article

The Role of Artificial Intelligence in Everyday Applications in Education

Luigi Bianchi, Stefano Rossi
article en

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.

International Journal of Emerging Trends in Information Technology (IJEIT)Vol. 1(1)
Openalex Percentile: Top 88%
Online Learning and Analytics
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