THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO THE PERSONALIZATION OF EDUCATION: A NEW PARADIGM FOR BASIC EDUCATION

Relevance: 6/10 2 cited 2024 paper

This is a literature review paper in Portuguese that discusses the theoretical integration of AI for personalized learning in basic education (K-12), examining opportunities, challenges, ethical concerns, and the need for teacher training. The paper does not present or evaluate any specific AI system, benchmark, dataset, or empirical study of AI's impact on student learning outcomes.

The integration of Artificial Intelligence (AI) into K-12 education represents a significant transformation in the contemporary educational paradigm. This study explores how AI can be used to personalize teaching, adapting it to the individual needs of students in K-12 education. The research examines the challenges and opportunities associated with implementing AI systems in educational settings, focusing on the ability of these technologies to deliver personalized learning experiences. Through

Tool Types

Personalised Adaptive Learning Systems that adapt content and difficulty to individual learners.

Tags

adaptive learning K-12