Learning Resources

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: Determining where to invest in terms of academic programming and staffing can oftentimes be difficult due to competing interests by academic programs as well as a lack of resources. This session will describe how one university sought to improve academic planning and resource allocation within their academic units, and the software solution they used to do it. We'll discuss the university's example and broader best practices for reviewing metrics in research, finances, benchmarking, and predictive modeling as well as staffing and resource allocation related to academic planning.

Abstract: From launching new degree programs to assessing learning outcomes, academic planning happens every day—even if it’s not in a documented academic plan. Use this assessment to determine how robust academic planning is at your institution . . . and identify areas for improvement.

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: Tri-County Technical College in northwestern South Carolina developed a proactive academic program strategy to determine which programs will be offered in the future, including where, how, and when. The process also evaluates which existing programs will be maintained or grown. Business and industry have long used product strategies to determine what will be delivered to market to best meet consumer needs; similarly, Tri-County created a program strategy to be more responsive in meeting employer and community needs. The approach is necessarily nimble, responding to labor market changes, political interests, governance assessment requirements, and the need for continuous program improvement. Using this proactive approach, academic programming decisions can strategically impact curriculum design, enrollment management, learner support and engagement, student transitions programming, and facilities design. Processes and tools were co-created by faculty and staff and incorporated into their roles, negating the need for initial buy-in. Overall, an effective program strategy improves both student access and success while helping the college be more nimble in meeting emerging labor market needs.