Akademik Məlumat İdarəetmə Sistemi
IV INTERNATIONAL CONFERENCE ON DIGITAL ECONOMY: Modern Challenges and Real Opportunities, pp.1, 2026 (Conference Book)
The rapid advancement of digital
technologies has significantly transformed contemporary education systems,
positioning artificial intelligence (AI) as a central component of educational
digitalization. AI-driven solutions support personalized learning pathways,
adaptive assessment mechanisms, intelligent tutoring systems, and data-informed
educational management, thereby improving learning efficiency and instructional
quality. Digitalization, supported by AI technologies, has expanded access to
education through online platforms, virtual learning environments, and smart
learning management systems, helping to overcome geographical and institutional
barriers. At the same time, the growing use of AI in education raises important
challenges related to data privacy, ethical governance, algorithmic bias, and
unequal access to digital resources [1]. This article examines the role of
artificial intelligence within the broader framework of educational
digitalization, assessing its opportunities, risks, and long-term implications.
The study highlights the necessity of inclusive, transparent, and
human-centered approaches to ensure sustainable and equitable digital
transformation in education.
Introduction.
Digitalization has become a defining feature of modern
education systems worldwide. The integration of digital technologies into
teaching and learning processes has reshaped traditional educational models and
introduced new pedagogical approaches. Among these technologies, artificial
intelligence occupies a central position due to its capacity to analyze large
datasets, automate processes, and support individualized learning experiences
[2]. Artificial intelligence applications in education include intelligent
tutoring systems, automated assessment tools, learning analytics, and virtual
assistants. These technologies support adaptive learning by adjusting content
and pace according to students’ individual needs and performance. AI also
assists educators by reducing administrative workload and providing data-based
insights into student progress.
Digital platforms and
AI-supported systems have significantly increased access to education. Online
learning environments enable flexible and lifelong learning opportunities,
particularly for remote or disadvantaged populations.
Despite its
advantages, the use of AI in education raises ethical issues related to data
protection, transparency, and algorithmic accountability. Ensuring fairness and
preventing bias in AI systems are essential for maintaining trust and
inclusiveness within digital education.
Conclusion. Artificial intelligence
and digitalization are transforming education into a more flexible,
data-driven, and learner-centered system. To maximize their benefits,
policymakers and educators must address ethical concerns, invest in digital
infrastructure, and promote inclusive strategies. Sustainable integration of AI
in education requires balancing technological innovation with human values and
educational equity.