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: Benchmarking surveys assist programs with measuring performance and are widely used in a variety of organizations and disciplines, including institutions of higher education. One challenge facing institutions concerns a lack of shared metrics among those with similar programs. This article details the history and creation process of developing a benchmarking survey for an international academy. The purpose is to highlight the need for shared metrics between institutions, and to provide an account of the approach used for developing a benchmarking survey for academic programs. A detailed narrative of survey creation, refinement, and data collection associated with four survey iterations is included. Recommendations are provided for benchmarking development processes that may be beneficial for various institutions and disciplines regarding survey development, survey deployment, and survey project team composition.

Abstract: This article discusses furthering research on distance education and technological advancements across institutions through the launching of a national research center. Specifically, the authors discuss developing an institutional capacity to conduct research, harnessing resources to support research, leading research initiatives and collaborations, and mapping the future of data collection and analysis.

Abstract: The services required to support the strategic work of universities often exist in silos, and this disconnection can impede the advancement of new initiatives. To prepare for a complex new program, a number of analytical processes need to occur—background research, environmental scans, and benchmarking. To develop the initiative, strong facilitation and project management skills are also required. To ensure the initiative’s success, careful space planning and financial planning must exist along with the development of evaluative measures to monitor progress. This article describes how one university combined these services into a single department to more effectively support the strategic work of schools, divisions, and campus-wide programs.

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.

Abstract: A strategic planning model for colleges and universities is presented which integrates competitive benchmarking and an adaptation of Hill’s manufacturing strategy model. Hill’s model is altered to focus on student-winners and is used to design programs of study and supporting services. Benchmarking is used as a key component of the planning process. This model is based on integrating program strategy with recruiting strategy to satisfy the needs of stakeholders including students, faculty and industry recruiters. A planning context is developed and a modeling example is presented. This paper responds to the need for improvements in traditional strategic planning in higher education to develop a more holistic and integrative approach.

Abstract: Today’s college students believe that learning technologies are necessary tools that should be integrated into their course work. However, faculty have not yet responded to these expectations. This qualitative study engaged approximately 100 faculty and undergraduate students at the University of Washington in focus groups to explore this discrepancy between students’ desires to utilize technology and actual faculty integration of technology. Universities and colleges can resolve this digital disconnect by assisting in planning curricula to meet student and teacher needs, aligning support and services to technology adoption to overcome present barriers, and informing the design and development of educational technology.