Integrating AI Tools to Enhance Learning Outcomes in Modern Education Systems
The integration of Artificial Intelligence (AI) tools into modern education systems offers transformative potential, enhancing learning outcomes through personalized experiences, increased engagement, and streamlined administrative processes. This paper explores the various AI technologies—such as machine learning, natural language processing, and intelligent tutoring systems—and their applications within educational settings. It addresses both the benefits and challenges associated with AI integration, including issues related to privacy, bias, and accessibility. The discussion extends to emerging technologies and their future implications for teaching and learning. Practical recommendations are provided to guide educators, policymakers, and technology developers in implementing AI tools effectively and responsibly. By examining these facets, the paper aims to contribute to the ongoing dialogue about the role of AI in education and its potential to shape the future of learning.
Authors
- Mitra Madanchian (ORCID: https://orcid.org/0000-0003-0664-5865)
- Hamed Taherdoost (ORCID: https://orcid.org/0000-0002-6503-6739)
- George Drazenovic
- Sara Ravan Ramzani
Institutions
- University Canada West (CA)
- University of Applied Sciences Potsdam (DE)
- Global University Systems (GB)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.07.062
- Citations
- 2
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 3.39
Funders
- University Canada West