Enhancing Student Engagement through AI-Based Learning Tools among Prospective Teachers

Abstract

Artificial intelligence (AI) technology now interacts with educational systems to change teaching methods which especially impacts teacher training programs. The research aims to determine whether artificial intelligence learning tools improve student participation for future educators in a teacher training program. The study used a quasi-experimental design to assess how two groups interacted with their learning materials: one group used artificial intelligence learning tools while the control group followed standard educational procedures. The AI group showed statistically important gains in all three engagement types: emotional, behavioral, and cognitive. The research shows that artificial intelligence enables students to engage more deeply with learning materials which teachers and curriculum designers can use to improve educational programs.