Lecture Notes in Architecture: The Impact of AI (Artificial Intelligence) on Education: Opportunities and Challenges in Modern Schools
Session
Architecture and Spatial Planning
Description
This paper explores the growing role of Artificial Intelligence (AI) in educational environments and its potential impact on learning, teaching methodologies, and school administration. AI technologies, such as intelligent tutoring systems, personalized learning platforms, and automated grading, are becoming integral components of modern classrooms. This research investigates how AI can enhance student engagement, improve academic performance, and support teachers in managing diverse classrooms by providing tailored learning experiences. In this paper also examines the ethical concerns and challenges associated with AI in education, including data privacy, algorithmic bias, and the digital divide. Through a combination of literature research, case studies and survey this study seeks to provide a comprehensive analysis of AI's current and future implications in schools.
Keywords:
Artificial intelligence, learning, school, classroom, challenge
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-41-2
Location
UBT Kampus, Lipjan
Start Date
25-10-2025 9:00 AM
End Date
26-10-2025 6:00 PM
DOI
10.33107/ubt-ic.2025.12
Recommended Citation
Hajdari, Defrim and Ceko, Bekim, "Lecture Notes in Architecture: The Impact of AI (Artificial Intelligence) on Education: Opportunities and Challenges in Modern Schools" (2025). UBT International Conference. 13.
https://knowledgecenter.ubt-uni.net/conference/2025UBTIC/ASP/13
Lecture Notes in Architecture: The Impact of AI (Artificial Intelligence) on Education: Opportunities and Challenges in Modern Schools
UBT Kampus, Lipjan
This paper explores the growing role of Artificial Intelligence (AI) in educational environments and its potential impact on learning, teaching methodologies, and school administration. AI technologies, such as intelligent tutoring systems, personalized learning platforms, and automated grading, are becoming integral components of modern classrooms. This research investigates how AI can enhance student engagement, improve academic performance, and support teachers in managing diverse classrooms by providing tailored learning experiences. In this paper also examines the ethical concerns and challenges associated with AI in education, including data privacy, algorithmic bias, and the digital divide. Through a combination of literature research, case studies and survey this study seeks to provide a comprehensive analysis of AI's current and future implications in schools.