Building a culture of data governance at a higher education institution involves collaboration across the entire institution. Before the creation of formalized roles to perform data management and data governance functions at colleges and universities, these functions were performed by traditional institutional research personnel. Documentation…

Ethical issues are structurally present in the design and choice of data; the interaction between problem, model, and intervention; and the scientism that supports data analytics' claims to authority. In this chapter, I argue against three social assumptions behind common implementations of learning analytics: data realism, technological…

Most White people have learned to ignore the way that the social construct of race benefits them or harms people of Color, myself included. In this way, people take for granted that race is not real, but rather the invention of White supremacists. Moreover, researchers who are responsible for generating knowledge far too often depend on…

As institutions seek to shift into more advanced analytics and data-based decision-support, many institutional research offices face the challenge of meeting the office's current demands while taking on more intricate and specialized work to support decision-making. Given the great need organizations have for information that supports real-time…

As federal guidelines have increased reporting demands on all sectors of education (United States Department of Education [USDOE], 2015) and state reporting requirements have expanded as legislatures call for performance-based funding (National Conference of State Legislatures, 2015), the need for institutional research offices has become the norm…

Data continues to grow in both importance and quantity within colleges and universities. IR professionals need to know ways data can create potential legal issues in order to be proactive rather than reactive to these situations.

As tuition rates for higher education rise, universities are under increased pressure from internal and external stakeholders to document outcomes such as graduation rates. To do so, higher education institutions must use data effectively. This paper examines the University of Wisconsin--Stout's (UW-Stout) strategies for data use in the…

Human resources (HR) represent the most significant investment on most of our college campuses in terms of time and financial resources. The importance of good data about the workforce begins with establishing a need for a new position. That need for data continues with recruiting, hiring, training, promoting, retaining (or not), and retiring…

In institutional research, modern data mining approaches are seldom considered to address predictive analytics problems. The goal of this paper is to highlight the advantages of tree-based machine learning algorithms over classic (logistic) regression methods for data-informed decision making in higher education problems, and stress the success of…

This chapter utilizes the duties and functions of institutional research to outline the skills needed by institutional research professionals in an evolving digital institution. The concept of future-proofing, explained and considered in this context, encourages professionals to develop skills for the present with the future needs of data-informed…

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.

Data quality has become a pressing issue for many campuses in recent years, as colleges struggle to extract timely, accurate, and consistent information from ever-proliferating institutional data sources in order to meet strategic decision-making and accountability demands. In this mixed methods study, a survey and semi-structured interviews were…

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

This 60-Second survey (Appendix A) was a partnership between the American Council on Education (ACE) and AACRAO. Colleges and universities have invested in the use of data analytics to improve student outcomes, close attainment gaps, and improve organizational performance. As environmental conditions continue to evolve, the pressure to do so in…

Various inequities and challenges facing Latinx students in community colleges continue to be documented. Yet, less documented are the challenges associated with "advocacy efforts" to support Latinx and other underrepresented Students of Color within the community college sector. There is not often pause to consider: "who advocates…