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: Institutions usually spend more on providing courses for some academic programs than others. Stakeholders need to decide where and how to allocate resources to support instruction. This session introduces recent best practices using the Delaware Cost Study data to facilitate 1) the identification of under-resourced academic programs and 2) decision making in faculty budgeting and staffing. You will leave this session ready to re-evaluate the metrics you use to support instructional budgeting decisions so you can identify under-resourced programs and accurately understand faculty hiring needs.

Abstract: FLEXSpace—The Flexible Learning Environments eXchange—and the Learning Space Rating System (LSRS) are tools that can help you plan, design, assess, and improve learning spaces on your campus. In this session, you will learn about the newly released FLEXspace 2.0 along with the LSRS. We'll cover the features and benefits of both tools and how they can be incorporated into the planning process. Come learn how to use these tools to inform designs and support end users from planning through post occupancy.

Abstract: Student success analytics promise to dramatically improve our capacity to increase student success across the entire spectrum of the student life cycle and throughout the student experience. Institutions will move beyond institutional accountability statistics to improve performance at the level of student success processes, practices, and interventions. Ultimately, these new processes, practices, and interventions promise to enable institutions to reinvent and personalize approaches to success.
By leveraging analytics and data science, leading-edge institutions “optimize” student success for individuals and cohorts by making student success a mission-critical, overarching institutional strategy. “Student success science” is a critical ingredient in reimagining higher education. This article provides a road map for institutional leaders on how to raise their analytics IQ so that they can leverage these practices to better serve their students, improve performance, and demonstrate value.
The use of analytics is potentially a key ingredient in sense making and decision making in all aspects of institutional performance and is critical in improving student success. Enlightened higher education leaders are committing to analytics and data science that deliver active interventions that improve student success.

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.

Abstract: Academic Design describes the design process used in the Minnesota State Colleges and Universities to evaluate academic programs and priorities based on the unique needs of individual institutions. The four main sections include landscape analysis, program analysis, program design and improvement, and learning paradigms. The conclusion offers information on how to prepare your academic design plan. If you need to understand the elements of an institutional (or large departmental) strategic planning process, this is the book for you. The authors have distilled significant lessons learned from their experiences with a number of mostly smaller colleges and universities, but the principles and processes apply in a wide variety of institutional arenas.

Abstract: Book Review of A Guide to Decision Making in Student Affairs: A Case- Study Approach, by Stanley R. Levy and Charles E. Kozoll. Charles C. Thomas, Publishers, Ltd., 1998. 178 pages. ISBN 0-398-06871-2

Abstract: Facing storms of change within and outside the academy, higher education officials have realized that major realignments are underway creating demographic, economic, political, and cultural imperatives. Quality, accountability, and institutional effectiveness have become part of the culture for stakeholders in higher education. Program directors, department chairpersons, academic deans and their associates, and academic vice presidents are anticipating continued change and are ready to respond in a timely fashion using new planning approaches and techniques.

In assembling this reader, the selection of materials was guided by a sensitivity to provide academic planners with tools to facilitate the transformation of higher education institutions from provider-centered cultures and organizations to leamer-centered franchises. Readings examine partnerships and alliances needed for higher education institutions to survive, if not lead, the transformation of society into the information age.

This book tells how planners can best situate themselves and their organizations in the emerging network of collaborative resources. It is organized into the following sections: Environmental Scanning, Curriculum Planning, Enrollment Management, Human Resources Planning, Planning for Information Technology, Student Services, Academic Planning Within the Larger Context, and Linking Quality and Accountability.