Personalized Learning Ecosystems: How Adaptive AI Transforms English Language Education in Higher Education

This research paper looks at how adaptive artificial intelligence (AI) tools change personalized learning for English classes in colleges. It focuses on how well these tools improve student engagement, language skills, and total learning results. I used a mixed-methods study to complete this research work. I collected numbers and stories from student performance grades, user surveys, and teaching design reviews. These data points show the real strengths and hard problems of AI systems. The results show that adaptive AI increases student engagement in the classroom. It fits lessons to what each individual person needs. This process leads to better language skills for the students. The research shows clear gains in learning results. These tools work well for different learning styles and school struggles in the classroom. These results matter for more than just language classes. They show how adaptive AI can change personalized learning in many different subjects. This change helps students succeed in higher education. Using this technology can lead to fairer schools for everyone. Personalized lessons help many different types of students get ahead in their work. This creates a welcoming school setting that matches modern teaching goals. This study adds to what we know about school technology. It asks for more research into AI and personalized learning. It looks at how these things affect the whole school system.