Learning Resources

Abstract: Data analytics related to student and institutional performance have evolved quite rapidly—and continue to advance—as the field of data science captures more attention across the higher education sector. And while data-informed decisions can help institutional leaders achieve their goals, there are increasing examples of analyses or visualizations that, when presented without the proper framework, result in misinterpretation and inaccurate conclusions. Context is critical, and erroneous deductions may lead to decisions that adversely affect student performance, program development, and policy changes.

Abstract: Long-range master plans make assumptions about the future, but historic data is actually a more reliable predictor. A master plan built on data, not assumptions, is also easier to adapt to changes. We will discuss a computational metrics mobile app and how Miami University uses it for its master plan. With practical tools and processes in hand, you will be able to prioritize available data, make more informed planning decisions, and align your team before executing future planning priorities on your campus.

Abstract: Underrepresented students increasingly form the majority of most student bodies, but most built environments are not designed with these students' needs in mind. Why? Because most facilities planning processes do not engage underrepresented students in a way that elicits their experience of the built environment. This session offers new practices that yield social equity in campus planning and building design. You will learn new engagement and assessment tools that you can implement now to reveal and remedy the disparities that underrepresented students encounter in the built environments of the campus.

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: The range of potential STEM careers is growing rapidly, yet people of color are underrepresented in STEM professions. New academic facilities can promote these careers through recruiting, retaining, and connecting with undergraduate talent. This session will explore an integrated approach to planning, design, and branding an HBCU's new STEM facility, including carefully developed digital messaging, to encourage student awareness of STEM academic pathways and professional opportunities. Come hear about strategies and lessons learned in working with architects, graphic designers, and digital content providers to develop this environment.

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: To provide access to and retain both students of color and low-income students, community colleges must change to create environments in which all students can succeed. Change strategies must focus on the core mission of the institution and rely on data regarding the experiences of students at the institution. When student data are used to inform the planning and decision-making processes at a college, a "culture of evidence" is fostered. This article explores how colleges in the "Achieving the Dream: Community Colleges Count," a funded national initiative, use the Community College Inventory of: Persistence, Learning, and Attainment, to develop a culture of evidence.