Institutions’ Use of Data and Analytics for Student Success: As higher education institutions in the United States strive to maximize their use of resources to better support students, it is now more critical for professionals to make data-informed decisions. Most institutions are currently gathering an abundance of data from multiple sources, which provides a good opportunity for functional units, divisions, and departments to share timely and relevant data and collaboratively deliver programs and services.
Three of many integral units that are involved in data-informed strategies are institutional research (IR), student affairs, and information technology (IT). Thus, three higher education membership associations, the Association for Institutional Research (AIR), NASPA—Student Affairs Administrators in Higher Education, and EDUCAUSE partnered to conduct a survey that examined the current landscape of institutions’ use of data and analytics for student success. This report describes a variety of challenges and opportunities regarding institutions’ readiness to expand their use of data across functions.
Setting the Table: Responsible Use of Student Data in Higher Education: The higher education community must set the table and invite others to help us define ethical practice and responsible use of student data in the rapidly changing digital world of the academic enterprise.
Library Integration in Institutional Learning Analytics: The Library Integration in Institutional Learning Analytics (LIILA) project, funded by the Institute of Museum and Library Services, convened three meetings with academic library administrators, reference and instruction librarians, systems librarians, library technology administrators, library association leaders, and IT administrators as well as learning analytics, library vendor, and learning standards representatives to increase academic library participation in higher education learning analytics and prepare academic librarians to engage in this important use of data to support student learning and success.
Institutional Analytics in Higher Education: This 2016 report explores the current state of higher education institutional analytics and identify the foundational elements of effective, efficient, and adaptable institutional analytics tools. It will also identify the issues institutions are trying to solve with institutional analytics, assess readiness to make decisions with analytics, and look toward the future of institutional analytics in higher education.
Educause Core Data Service (CDS): A benchmarking service used by colleges and universities to inform their IT strategic planning and management. CDS focuses on three pillars of IT: financing, staffing, and services, and also includes select IPEDS and CUPA-HR data.