Children represent a rapidly evolving generation that is increasingly exposed to diverse technological advancements. A key challenge is ensuring their interaction with these technologies occurs naturally and beneficially. Moreover, as technological development accelerates, there is a growing tendency among younger individuals to overlook fundamental life skills, including waste classification. We proposed EcoLearn, an educational system designed to enhance children’s reasoning abilities while promoting effective waste classification in a dynamic, non-scripted environment to address this issue. EcoLearn incorporates parental and classifier supervision, where parents and relatives contribute by generating waste items for classification. The system is an Escape Room simulation that challenges users to complete tasks to escape, integrating interactive games, detailed instructions, Large Language Models, and 3D Generative AI to enhance user engagement. Based on the evaluation of 11 users who tested both the Personal Computer and Virtual Reality versions, the results indicate that users tended to prefer the VR version of the application, with the VR version scoring an average of 3.92 compared to the PC version’s average score of 2.92. By fostering an interest in reasoning and environmental responsibility, EcoLearn serves as an initial step toward harnessing AI-driven virtual reality gaming without predefined scenarios.