The construction industry is not only one of the industries with the highest fatality rates, but also significantly consumes natural resources, with nearly $2.1 trillion worth of buildings constructed annually, resulting in a substantial ecological footprint. To address this, the construction industry is leveraging sensing technologies to achieve sustainable construction practices, making it necessary to upskill the future workforce in this area. However, the dynamic nature of construction sites and the ubiquitous safety challenges often impede hands-on experiences in practicing the use of sensing technologies to solve real-world problems and achieve sustainable construction practices. This project will investigate an embodied virtual reality and artificially intelligent environment (VRAPS) to facilitate the development of problem-solving skills of heterogeneous learners for sustainable construction. VRAPS will also be designed as an intelligent platform that can adapt to the diverse needs of different learners, making it a transferable learning environment with distinct features. This project will demonstrate how a personalized learning environment can close the competency gap between industry and construction education by developing a workforce capable of advancing sustainable practices in the construction industry. This planned research investigates a virtual reality and artificially intelligent environment for personalized learning in sustainable construction educatio