Work

Innovations in Artificial Intelligence to Improve Educational Content

Year: 2025

Type: conference-paper

Abstract: This study explores innovative applications of artificial intelligence to enhance educational content delivery and personalization. The research aimed to identify AI-driven methods that improve learner engagement and content adaptability. A mixed-methods approach was used, combining content analysis and expert interviews. The results indicate that AI technologies, such as natural language processing and adaptive learning systems, significantly improve content relevance and accessibility. The findings highlight the transformative role of AI in creating more effective, learner-centered educational environments. These innovations contribute to reducing educational inequality and promoting inclusive learning. Further implementation of AI tools may lead to scalable and sustainable improvements in global education systems.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15360891

Authors: Volotovska, Tetiana, Ihnatenko, Pavlo, Strelok, Nadiia

Institutions: University of Education, National University Zaporizhzhia Polytechnic

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W6930726243

FWCI:

Cites:

Cited by:

Related to: