Learning Resources

Abstract: Campus planners have invested time and resources in designing and implementing innovative learning spaces that optimize evidence-based pedagogical approaches embracing collaborative, real-world teaching and learning. But to what degree do these physical spaces enhance learning and honing of soft skills that are ranked highly by today’s employers? To address this question, 2018/19 SCUP Fellow Jeffrey Ashley engaged alumni through surveys to quantify the development of collaborative skills in innovative classroom environments. The design, implementation and results of this SCUP Fellowship research project will be highlighted and compared to other assessment methods with the goal of understanding your own institution’s assessment needs and plans around active learning spaces.

Abstract: After a campus tragedy, the first steps for the community toward settling into the new normal often entail working through the gravity of recent events. This work includes a need for internal reflection, external processing, and collective healing. Campus communities engaged in this process often find a way to memorialize the events that have shaken them and to honor the lives of any community members lost to tragedy. This research project focuses on physical memorials that are the result of a tragic moment in institutional history.

Abstract: Institutional data trends over time is important to show progress or areas of concern. It can be equally important to compare oneself to like institutions. Have you ever thought about how a peer group gets determined? If you have a peer group, have you ever wanted to evaluate the group using data? You will learn an approach for developing a data-informed peer group and how benchmarking with a peer group can inform your institution's governing board and be linked to mission.

Abstract: Innovative leaders must promote and cultivate a data culture that informs decision making across an institution. In this session, we will discuss data strategies for capital and facilities planning that enable real-time mobile access to planning tools, automated project tracking, metrics, and building transparency in order to support the planning and execution process. Come learn about agile development of available open source tools that enable cost-effective data strategies, including automated processes, and the development and implementation of planning and execution tools.

Abstract: Public-Private Partnership (“P3”) procurement models for built infrastructure serving higher learning institutions started to gain attention in North America in the late 1990s—mostly as an alternative approach to adding student housing at select universities and colleges. More recently, P3 models have been applied to a diverse range of higher learning projects, with some serving core academic and research functions.

Although many institutions are considering P3 approaches among their options to address emerging pressures to expand or update their facilities, their implementation is not yet common. The researcher’s intention was to better understand P3 models and learn how they have performed, possibly generating some useful lessons for how P3 models can be applied with desired outcomes.

Abstract: U.S. transportation data suggest that the number of vehicle miles traveled has far surpassed new capacity, resulting in increased traffic congestion in many communities throughout the country. This article reports on traffic congestion around a university campus located within a small town. The mix of trip purposes varies considerably in this context, with the majority of trips related to student movement to and from classes. The university itself becomes a major traffic generator, but in a complex way. This article describes how congestion in a university setting differs from that in a nonuniversity setting; what components drive this congestion; how best to reduce this congestion while adhering to overall university planning objectives; and how to set a foundation for traffic management strategies that provide environmental, social, and economic benefit to the university and, importantly, to the surrounding community. The information presented here applies beyond the campus setting to any community that contains nontraditional traffic generators and shows why context does matter when analyzing and managing traffic.

Abstract: A simple and readily understandable visual display of quantitative measures of academic efficiency and productivity is demonstrated in this article. This graphical construction facilitates annual comparisons of unit efficiency and productivity as well as an analysis of temporal changes in unit activity. By establishing a common framework upon which a data-driven conversation regarding unit activity is constructed, this method produces a single graphical representation of the activities of any academic unit. As such, this technique assists academic decision makers with goal setting, resource allocation and reallocation, and the program prioritization process.