Learning Resources

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: 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: A university’s strategic plan sets out its intent to reach higher, innovative levels to be considered prominent, a market leader, or universally recognized for excellence. By engaging employees as “owners” they can actively manage the forces and operational processes during plan implementation, monitoring, and controlling. Working with data-based performance metrics aids employees—and even students— in decision-making to evaluate options that affect performance thereby influencing the outcome. This session provides insight into KSU’s approach on engagement across the university.

Abstract: A review of “Assessing Educational Outcomes,” by Peter T. Ewell, (ed.), New Directions for Institutional Research Issue Number 47, San Francisco: Jossey-Bass, Inc., 1985.