Interactive learning involves a system that learns from user interactions in real-time, adjusting its behavior based on feedback. This approach allows models to adapt to user preferences and improve their accuracy over time. Interactive learning is prevalent in applications like recommendation systems and personalized content delivery, where user input enhances the learning process.