The purpose of this document is to recommend data visualization practices that will help education agencies communicate data meaning in visual formats that are accessible, accurate, and actionable for a wide range of education stakeholders. Although this resource is designed for staff in education agencies, many of the visualization principles…

Inquiry-based educational Araitz Uskola contexts including observation of the Moon have been found to facilitate students' understanding of the Sun-Earth-Moon system. However, the role that the collected data play in the knowledge construction process is unclear, as the process that students develop from the collected data has not previously been…

The aim of this case study is to highlight the importance of piloting or pre-testing the research design (in this case, semi-structured interviews and narratives). Most textbooks offer minimal guidance about pre-testing the research design, and published reports rarely report whether the research was piloted and, if so, what were the results.…

This protocol guided the review of research that informed the recommendations contained in the What Works Clearinghouse (WWC) practice guide Using Student Achievement Data to Support Instructional Decision Making, published in September 2009. The research review involved the following steps: (1) The research staff searched the professional…

This article is a commentary on the Focus Article, "Interpretational Confounding or Confounded Interpretations of Causal Indicators?" and a commentary that was published in issue 12(4) 2014 of "Measurement: Interdisciplinary Research & Perspectives". The authors challenge two claims: (a) Bainter and Bollen argue that the…

Data is critical, but data has not always lead to success. If data is not communicated clearly, the results can be disastrous. Design lets us communicate data so it can be understood. Dr. Rankin believes that "when we're fluent in visualizing our ideas, we can communicate them across global boundaries, across spoken language barriers, and…

This paper identifies some of the main challenges of data governance modelling in the context of learning analytics for higher education institutions, and discusses the critical factors for designing data governance models for learning analytics. It identifies three fundamental common challenges that cut across any learning analytics data…

This guide was designed to help state and local education agencies conduct needs assessments to better understand the strengths, challenges, and needs unique to schools serving American Indian students. It includes surveys developed collaboratively with communities that serve American Indian students to reflect the most relevant topics. Using…

The aim of this quantitative research is to analyze the impact of Facebook in the teaching-learning process in financial mathematics education, using data science, machine learning, and neural networks. The sample is composed of 46 students from the Bachelor of Administration, Commerce and Marketing program at La Salle University. The results of…

Background: Schools are ideal environments in which to conduct child and adolescent physical activity (PA) research. Despite this, PA-specific practical guidance for school-based research is lacking, which may present unique challenges to researchers. Based on reflections from our own experiences, this paper seeks to provide practical guidance on…

School climate is important for continuous improvement. California's LCFF requires districts to report on school climate and use data to inform decision making. Qualitative data, derived from an explanatory sequential mixed-methods study, explored three belief constructs and sub-groups by response patterns. Education leaders have a range of…

The purpose of this study is to use Indigenous data collection to present construct validity of an instrument designed to test the American Indian/Alaska Native Millennium Falcon Postsecondary Persistence Model (Lopez, 2018). In the following, I describe an alternative sampling technique based on an Indigenous quantitative methodology to examine…

Following the onset of the novel coronavirus disease 2019 (COVID-19) pandemic, daily life significantly changed for the population. Accordingly, researchers interested in examining patterns of change over time may now face discontinuities around the pandemic. Researchers collecting in-person longitudinal data also had to cancel or delay data…

As states consider non-academic measures of school quality for their accountability plans under the Every Student Succeeds Act, few are choosing to focus on the school climate in which students learn. That's not a surprise, given concerns about the validity and usefulness of existing climate surveys. However, the authors argue, a recent study…

There are longstanding calls for inclusive education for all regardless of student need or teacher capacity to meet those needs. Unfortunately, there are little empirical data to support full inclusion for all students and even less information on the role of data-based decision making in inclusive education specifically, even though there is…