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…

The following case study describes a research project that used survey data from the National Survey of Student Engagement to examine the relationship between student engagement in higher education and institutional rank as reported by "U.S. News," "Forbes," and "Washington Monthly." The research article was presented…

The COVID-19 pandemic disrupted education provision at an unprecedented scale, with education systems around the world being impacted by extended school closures and abrupt changes to normal school operations. The Responses to Educational Disruption Survey (REDS) investigated how teaching and learning were affected by the health crisis, and how…

Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…

The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…

This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…

Teaching and learning in networked settings has attracted significant attention recently. The central topic of networked learning research is human-human and human-information interactions occurring within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach to…

Big Data Analytics is a topic fraught with both positive and negative potential. Big Data is defined not just by the amount of information involved but also its variety and complexity, as well as the speed with which it must be analyzed or delivered. The amount of data being produced is already incredibly great, and current developments suggest…

Every high school graduate should be able to use data analysis and statistical reasoning to draw conclusions about the world. Two core statistical concepts for students to understand are the role of variability in measures and evaluating the effect of a variable. In the activity presented in this article, students investigate a scientific question…