Digital Transformation in Education: AI-based Personalized Learning and the Development of Thinking
Abstract
The integration of Artificial Intelligence (AI) in education is reshaping traditional pedagogical
practices by enabling personalized learning and fostering critical thinking. This study explores
how AI-based adaptive learning systems support individual learning trajectories, enhance
cognitive engagement, and stimulate reflective and creative thinking skills. Drawing on the works
of Luckin et al. (2018), Coeckelbergh (2020), and Bostrom (2017), the paper analyzes both
theoretical frameworks and practical applications of AI-driven education. The findings suggest
that AI augments human intelligence rather than replacing teachers, promoting a more flexible,
data-driven, and intellectually stimulating learning environment.
Keyword
References
- Bostrom, N. (2017). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
- Coeckelbergh, M. (2020). AI Ethics. MIT Press.
How to Cite
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share and adapt this work for any purpose, including commercially, provided you give appropriate credit to the original author(s) and source, provide a link to the license, and indicate if changes were made.
License: creativecommons.org
How to Cite
Issue Cover
Downloads
Statistics
- Abstract Views
- : 3 times
- : 9 times