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Personalized Learning Paths: Adapting Education with AI-Driven Curriculum
Research / Other Relevance: 6/10 22 cited 2023 paper
This is a literature review synthesizing existing research on AI-driven personalized learning paths and their impact on educational outcomes, including academic performance, engagement, and retention across various educational settings.
: Purpose: This review research paper aims to investigate the impact of personalized learning paths facilitated by artificial intelligence (AI) on educational outcomes. It explores the evolving landscape of education and the potential benefits of tailoring curricula to individual learner needs through AI-driven technologies. Theoretical Framework: The study is grounded in a theoretical framework that integrates principles of personalized learning, cognitive psychology, and AI algorithms. It seek
Study Type
Research / Other
Source
Framework Categories
Tool Types
Personalised Adaptive Learning Systems that adapt content and difficulty to individual learners.
Tags
educational dialogue system