This qualitative case study was designed to investigate mentors and mentees and their relationships in a formal group-mentoring program. Results and findings were expected to contribute to the literature on how to best support future new faculty and senior faculty careers by providing data on the opinions of those who participated in the mentoring…

College Measures was established in 2010 as a partnership between the American Institutes for Research (AIR) and Matrix Knowledge Group (now Optimity Advisors). In 2016, College Measures became fully owned by AIR. It remains focused on using data to drive improvement in higher education outcomes in the United States. Through its Economic Success…

All students deserve a great education, one that affords them every opportunity to grow into knowledgeable and successful adults. To make this vision a reality, students, parents, educators, and policymakers must have access to the right information to make decisions and support student learning. The Data Quality Campaign's Four Policy Priorities…

This thesis examined middle school students' current understanding of variability using a constructed response item assessment question. Variability is an essential concept in the teaching and learning of statistics. However, many students have difficulty with the concept of variability especially when constructing boxplots. Using a framework…

The Leaders' Evaluation and Analysis Development (LEAD) Tool provides the Los Angeles Unified School District (LAUSD) with a data set to measure the level of teacher effectiveness at every school site. The LEAD Tool data variables also provide teacher, principal, and schools with data that may have a relationship with a school's overall academic…

Higher education administrators lack strong understanding about using course evaluation data to make judgments and decisions. Using archival student course evaluation data from a pharmacy school, we examined (a) course evaluation instrument reliability and validity; (b) bivariate relationships between eight course rating items and the overall…

The Educational Policy Institute released a new report today about the ability of state and national databases to meet the policy needs related to higher education affordability. Written by EPI Senior Research Associate Lee Holcombe, the report finds that although states are establishing ambitious higher education participation and success targets…

In this brief, the authors examine the level of access to school counselors, and how this access is mediated by district demographic and location characteristics. Using a large nationally representative data source compiled from the 2013-2104 Civil Rights Data Collection (CRDC), the 2014 Small Area Income and Poverty Estimates (SAIPE), and 2007…

This Memorandum is issued in response to the February 22, 2013, Office of Science and Technology (OSTP) Memorandum for the Heads of Executive Departments and Agencies, "Increasing Access to the Results of Federally Funded Scientific Research." Through this Memorandum, OSTP directed all agencies with greater than $100 million in research…

Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. State coordinating and governing boards use these data systems for…

In this dissertation, I create a navigable path between the learning sciences, accounting information systems (AIS), and analytics education. After considering the context of AIS and accounting analytics education, I present a learning sciences design framework, apply the design principles, and study their implementation and success in an…

The need for data-informed decisions is not limited to national policy, state systems, or senior leadership of postsecondary institutions. Decisions that impact the achievement of higher education missions are also made by students, faculty, frontline staff, and program administrators--all of who deserve data and information to support their…

We propose a novel tensor factorization approach, Feedback-Driven Tensor Factorization (FDTF), for modeling student learning process and predicting student performance. This approach decomposes a tensor that is built upon students' attempt sequence, while considering the quizzes students select to work with as its feedback. FDTF does not require…

The North Carolina K-3 Formative Assessment Process: Kindergarten Entry Assessment (NC K-3 FAP: KEA) is the initial step in the development of a comprehensive formative assessment process for young children from kindergarten entry through the end of third grade. The purpose of this qualitative study was to gather teacher and administrator feedback…

This research project case discusses the methodology and research tools used in an action research study that was designed to support students' intrapersonal intelligence as defined by Howard Gardner (1993) in both the dimensions of self-knowledge and the cognitive capacities of executive function (Moran & Gardner, 2007). This involved…