Integration of Artificial Intelligence in Learning: Enhancing Personal Learning in Primary and Secondary Education

Faiz Akmal Baihaqi

Abstract


The rapid development of digital technology and the increasing need for learning that is responsive to individual differences pose new challenges in the world of education, especially at the elementary and secondary school levels. Social facts show that many students still experience gaps in understanding the material due to uniform and adaptive learning approaches. This study aims to examine the potential for integrating artificial intelligence (AI) in increasing the effectiveness of personalized learning as a solution to these challenges. This study uses a literature review method by analyzing scientific literature, policy reports, and case studies related to the application of AI in education. The results of the study show that AI can support personalized learning through analysis of student learning data, automatic content adjustment, and provision of fast and targeted feedback. AI also plays a role as a tool for teachers to manage classes more efficiently. However, the implementation of AI requires policy support, teacher training, and attention to private content and equality of access to technology. The implications of this study suggest that AI integration, if implemented wisely, can narrow the learning gap and drive a more inclusive, adaptive, and data-driven education transformation.


Keywords:

Artificial Intelligence, Personalized Learning, Primary Education, Secondary Education, Educational Technology


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DOI: http://dx.doi.org/10.29300/jpe.v5i2.8350

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