Exploring the Impact of AI-Driven Personalized Learning on Underrepresented Student Groups

This study investigates the impact of AI-driven personalized learning tools on engagement and academic performance among underrepresented student groups. Utilizing platforms such as SmartLearning, EduAI, and LearnMate, the research reveals a significant ۳۰% increase in student engagement and a ۱۵% improvement in academic outcomes. Qualitative feedback highlights the importance of personalized feedback and culturally relevant content in fostering student motivation and ownership of learning. Despite these positive findings, challenges such as access to technology, varying levels of digital literacy, and the need for pedagogical alignment remain critical barriers to effective implementation. The study emphasizes the necessity for a multifaceted approach involving educators, policymakers, and technology developers to ensure equitable access and maximize the benefits of AI in education. Future research directions include exploring the long-term effects of personalized learning tools and addressing ethical considerations related to AI algorithms in educational contexts.

کلیدواژه ها:

AI-driven learning ، personalized learning ، engagement ، academic performance ، underrepresented students ، educational technology ، digital literacy ، culturally relevant content ، equity in education ، educational outcomes