The integration of technology and team collaboration is increasingly becoming a critical juncture in construction education of the work environment. Through literature review and interviews, the authors find that students equipped with knowledge of BIM technology is not the ultimate goal, while the collaborative process of using BIM to solve practical construction problems emerges as key to individuals entering the industry. However, a majority of BIM-relevant courses have been taught as technology training without the context of a collaborative learning environment, while the industry values training in collaboration as a paramount skill in possible employees. To fill this gap, the authors assume that the collaborative construction skills can be obtained through training in higher education of construction. This work applies a case study analysis of one of Virginia Tech's Department of Building Construction courses, the Integrated Construction Studio (ICS), to demonstrate how the BIM process help students to build their collaboration skills in 4Cs: Common goals, Communication,Coordination, and Cooperation. This work then uses a survey analysis to validate the assumptions, and results from statistical analysis reinforce findings from the case study and also suggest some noteworthy observations for the educational integration of technology and collaboration in the industry.

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One of the premises of Building Information Modeling (BIM) is becoming a repository for all building related data throughout its lifecycle. However, the use of current models developed in existing BIM based software rarely go beyond the construction phase. During a facility's management, these models are treated as static information sources that contain the as-built data. Making BIM based models dynamic, to represent the real time building information, introduces various opportunities for facility managers to get the accurate information about the state of various systems. In this paper, we will introduce an approach used to connect the sensor data to the IFC-based BIM model. We will use a geothermal bridge deck deicing system, which involves embedded sensors as a case study. The real time monitoring of these sensor data is crucial for assessing the state of the bridge deck under different climate conditions. First, we will describe our model in Revit and the data we collected from temperature sensors. These sensor data will be subsequently fused into the IFC-based BIM model and processed for visualization through the development of new add-ins in Revit. Finally all the sensor data should be easily monitored in our BIM model for condition assessment.

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