<p>The traditional approach to teaching ecological landscapes centred on the instructor and made use of pictures that were static and restricted to two dimensions. As a result, students lose interest in the subject matter, which not only impairs their ability to study but also makes them feel they are not participating. By combining a virtual reality (VR) simulator with an adaptive artificial intelligence learning engine, this work presents the <i>AI-driven Immersive Ecological Teaching Framework (IET-VR)</i>, which is a comprehensive ecological teaching platform. By incorporating location and time data, the system would simulate real-world environmental conditions. Students have the opportunity to see how their efforts to preserve the environment are paying off through field visits to a variety of locations and through experimentation with different approaches. Students gained a better understanding of the connections among the various components of the environment through group testing. There was a 42.8% increase in engagement and a 31.4% improvement in total retention of information. Based on these findings, it seems that incorporating virtual reality (VR) and artificial intelligence (AI) into ecological education may yield more favorable outcomes than relying solely on textbooks. It is possible to improve ecological landscape training for students across a variety of fields of study and occupations by using the IET-VR technique, a scalable, adaptable, and cognitively aligned instructional approach.</p>