Modern education is undergoing rapid transformation by adopting immersive and intelligent technologies. This study presents the design and evaluation of a web-based simulation platform tailored for technical and technological education. The platform integrates advanced features like interactive laboratory simulations, real-time analytics, and AI-powered personalization tools. A core focus is placed on its integration with existing MOOC (Massive open online course) infrastructures via RESTful (REpresentational State Transfer) APIs (Application Programming Interface), enabling seamless deployment within university curricula. The simulation environment leverages Unreal Engine 5 (UE5) to deliver high-fidelity virtual laboratories replicating physical settings and complex experimental processes in disciplines such as biochemistry, materials science, and software development. A mixed-methods research design was employed, including stakeholder needs analysis, system prototyping, and pilot testing. Findings indicate improvements in student engagement, procedural fluency, and accessibility, with positive feedback on gamification and usability. Usability testing yielded a System Usability Scale score of 81.5, while pre/post-test assessments revealed a 28% average learning gain. The survey highlighted both interest in and institutional barriers to adopting such platforms. This study contributes to the digital and STEM education field by demonstrating how immersive, modular, and AI-enhanced platforms can complement or substitute face-to-face laboratory instruction while addressing pedagogical and technical constraints in modern higher education environments.