Learning Resources

Abstract: Post-occupancy evaluation (POE) of learning space is now an essential tool for institutions to align capital decisions with student performance. We will explore exemplary active-learning environments and the evaluation methodology we used to measure how these environments have elicited learning behaviors that foster student engagement. You will learn which aspects of the learning environment are important to measure, how to measure them, and how the collected data connects to metrics that matter to institutions.

Abstract: Using an administrative sustainability framework, we studied the decision process as it relates to space allocation. Those making the decision were academic faculty at a mid-sized urban Canadian university. We present recommendations for decision makers with resource allocation responsibilities.

Abstract: This session describes how we used data visualization to spark critical conversations as we evolved 1960s-era space guidelines into modern approaches. Key aspects of the space planning process at California State University-Chico were facilitated through data-informed discussions involving demographics and space analytics, which were used to align our plan with strategic directions, pedagogy, and anticipated resources. We'll share how space and campus planning discussions can be informed by environmental scanning tools, benchmarking, data visualization techniques, and scenario-based modeling.

Abstract: Measuring environmental comfort and user preferences gives insights into qualities of space that enhance health and educational performance. Taking post-occupancy evaluation (POE) to the next level, tools have been developed to reveal the measurable factors defined by users’ actions: frequency, duration, and usage of a desk, room, building, and campus. Unveiling the data and recognizing the trends provides actionable outcomes for operations and maintenance as well as the design of future projects.

Abstract: This report from the SCUP Campus Facilities Inventory (CFI) aggregates space data submitted to the CFI survey from 2006 and 2007. Institutions submitting a CFI survey quantify how their space is allocated using classifications from the National Center for Education Statistics (NCES) Facilities Inventory and Classification Manual (FICM).