AI-BASED PERSONALIZED LEARNING MODELS IN A DIGITAL EDUCATIONAL ENVIRONMENT
Keywords:
digital education, artificial intelligence, personalized learning, adaptive teaching, pedagogical technologies, digital platforms.Abstract
This article analyzes the issues of creating personalized learning
models based on the integration of artificial intelligence (AI) technologies within a
digital educational environment. It explores the possibilities of organizing an
educational process adapted to students' knowledge levels, interests, and learning
paces using modern AI solutions. Furthermore, the effectiveness of AI-based adaptive
learning systems and their contribution to the development of digital education are
evaluated and analyzed.
References
1. Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach.
Pearson Education.
2. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education.
Center for Curriculum Redesign.
3. Luckin, R. (2018). Machine Learning and Human Intelligence. UCL Institute of
Education Press.
4. Anderson, J. R. (2017). Intelligent Tutoring Systems. Artificial Intelligence
Journal.
5. Siemens, G. (2016). Learning Analytics and Educational Data Mining.
Educational Technology Publications.
6. UNESCO. (2021). Artificial Intelligence in Education: Challenges and
Opportunities. Paris.
7. Bates, T. (2019). Teaching in a Digital Age. BCcampus.
