This paper seeks to empirically validate a sector agonistic instrument that measures the perceived critical success factors in data governance. Twelve constructs (Leadership and Management Commitment; Leadership and Management Alignment; Executive Sponsorship; Robust Data Governance Strategy; Change Management; Training and Education; Governance…

There are a number of ways that student investment can be measured, including full cost of attendance (COA, also known as sticker price), net price (COA minus grant aid), and opportunity costs in the form of forgone earnings. This paper explores those options and makes recommendations for how student investment should be measured with ideal data…

Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…

The purpose of this study is to contribute to the establishment of metrics that can be used by libraries to analyze, anticipate, and plan for resource allocation for specialized print-based collections within an academic library. In the context of transactions associated with the circulation of library materials, that is checkouts, renewals, and…

The first step to addressing equity gaps is to identify them. How can community colleges determine, with some degree of certainty, whether one or more student groups on a campus is in need of assistance in order to succeed? This paper tackles this question by delving into the three methods typically used to identify equity gaps, comparing and…

Noncredit enrollment at community colleges has grown significantly over the past two decades. However, unlike credit bearing programs, noncredit programs are seldomly empirically examined and evaluated, particularly those that are not grant funded. The lack of data results in a gap in knowledge about program effectiveness, as well as the students…

With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…

This study examined the extent to which relations between students' perceptions of the learning environment, academic achievement, and study approaches measured by both self-reported and process data were consistent amongst 323 engineering students in a flipped classroom course. A hierarchical cluster analysis on four self-reported scales…

This book examines the idea of educational accountability in higher education, which has become a new secular gospel. But do accountability policies actually make colleges better? What if educational accountability tools don't actually measure what they're supposed to? What if accountability data isn't valid, or worse, what if it's meaningless?…

As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…

Hundreds of U.S. institutions of higher education have conducted campus climate surveys recently to assess students' experiences with sexual misconduct and perceptions of institutions' related policies and procedures. Many of these surveys were implemented in response to the recommendation by the 2014 White House Task Force to Protect Students…

The technological capacity that now exists to gather and store large amounts of data has improved access to information related to the academic performance, demographic profile and welfare needs of young people in a school. Improvements in data management techniques, statistical data analysis and software packages have made retrieving and…

Driven by the increased availability of Learning Management System data, this study explored its value and sought understanding of student behaviour through the information contained in activity level log data. Specifically, this study examined analytics data to understand students' engagement with online videos. Learning analytics data from the…

Student engagement allows educational institutions to make better decisions regarding teaching methodologies, methods for evaluating the quality of education, and ways to provide timely feedback. Due to the COVID-19 pandemic, identifying cognitive student engagement in distance learning has been a challenge in higher education institutions. In…

While teacher education programs are required to place preservice teachers in diverse schools/classrooms, the conceptualization and measurement of diversity remains a challenge. One of the primary methods for developing teachers so that they can capably work with diverse student populations is to provide field experiences that place teacher…