As institutions of higher education increasingly look to data as evidence to support planning, allocate resources, and inform teaching and pedagogy, ethical considerations regarding learning analytics have evolved from being on the margins to more central in the conversations surrounding institutional uses of student data. After outlining this…

Evidence-based decision-making requires access to good and reliable data. In recent years, there has been a tremendous increase of data available to institutions, from internal as well as external sources. With this increase in data and its analytics, new challenges and questions arise. One of the most pertinent of which is the ethics and best…

This chapter asserts that the use and reporting of institutional research (IR) data is an area ripe for litigation. The chapter explores possible student causes of action as they relate to institutional research (IR) data and compares the probable outcomes to reported student lawsuits. The chapter concludes with recommended liability-avoiding…

This chapter describes efforts to gather and utilize qualitative data to maximize contextual knowledge at one university. The examples provided focus on how academic departments use qualitative evidence to enhance their students' success as well as how qualitative evidence supports the institution's broader strategic planning goals.

This chapter illustrates two campus processes that utilized student-level data management systems, such as student record systems, assessment platforms, and comprehensive student records, to assess student outcomes relevant to campus missions, goals, and learning outcomes.

This chapter discusses principles that support using data about teaching and learning and offers several strategies particularly well suited for use by institutional researchers at small colleges in helping faculty, staff, and administrators use data on student learning for improvement.

Strong relationships with senior administrators, effective cross-campus collaboration, and efficient use of technology are central to impactful IR in small colleges.

This chapter focuses on perspectives of external data reporting and their implications for institutional research offices and campuses as a whole. The authors examine a variety of uses for externally reported data and explore opportunities for using these data more fully across the institution.

This chapter describes the background and process for collecting postgraduation outcomes data at a 4-year not-for-profit private college. The strategies, analyses, and reporting of this data-collection effort are highlighted with the use of a case study.

This chapter presents various definitions of big data and examines some of the assumptions regarding the value and power of big data, especially as it relates to issues of equity in community colleges. Finally, this chapter ends with a discussion of the opportunities and challenges of using big data, critically, for institutional researchers.

This chapter provides a conceptual model that academic leaders can use to navigate the complex, and often contentious, organizational terrain of academic program development. The model includes concepts related to the institution's external environment, as well as internal organizational structures, cultures, and politics. Drawing from the…

The community college environment is complex and dynamic, requiring constant monitoring. To ensure that workforce education, a core component of community colleges' missions, remains aligned with colleges' environments, responsive to employers' needs, suited to students' interests and abilities, and current in content and technology, it is…

It is a historically held principle of microeconomics that in the presence of better information, consumers make better decisions. This chapter focuses on information to guide consumers in making decisions about higher education. It examines the development and implementation of a one-stop career and college planning tool that leverages existing…

The need for educational programs to show their return on investment is exemplified in the intense debate surrounding gainful employment programs--defined as programs that lead to gainful employment in a recognized occupation and theoretically differ from programs that offer education in the liberal arts or prepare students for further education.…

Geographic information systems (GIS) are a major component of the geospatial sciences, which are also composed of geostatistical analysis, remote sensing, and global positional satellite systems. These systems can be integrated into GIS for georeferencing, pattern analysis, visualization, and understanding spatial concepts that transcend…