Innovations in Artificial Intelligence to Improve Educational Content
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.
Institutions
- Siemens (Germany) (DE)
- National University Zaporizhzhia Polytechnic (UA)
- Carol I National Defence University (RO)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-01
- DOI
- https://doi.org/10.5281/zenodo.15360892
- Primary Topic
- Adipose Tissue and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.00