Textbook data is essential for teaching statistics and data science methods because it is clean, allowing the instructor to focus on methodology. Ideally textbook datasets are refreshed regularly, especially when they are subsets taken from an ongoing data collection. It is also important to use contemporary data for teaching, to imbue the sense…

Discourse-based interviews allow researchers to gather data about a writer's understanding of what informs a task. This method was essential for a research team seeking to understand the impact of programmatic learning objectives on student writing development. Three decisions in the approach to this research project sought to center the student…

This article draws from a larger doctoral study that examines parents' and teachers' perceptions of parental involvement in early childhood learning. The COVID-19 lockdown happened on March 18, 2020, in Cameroon before data collection was completed, therefore presenting an opportunity to investigate home-school relationships during this period.…

In response to the COVID-19 pandemic, the Oklahoma State University Library developed an open-source application to record real-time building capacity. Library student security tracks building entrances and exits via the program, with current visitor numbers appearing on the library's website via an API. This effort helps administrators have a…

The novel coronavirus may impact exercise habits of those with intellectual disabilities. Due to the mandated discontinuation of face-to-face research, investigators must adapt projects to protect all involved while collecting objective physical activity metrics. This brief report outlines a modification process of research methods to adhere to…

There is a growing consensus that the ability to understand and process visual information should be part of the second language (L2) listening construct; however, the findings of studies exploring the use of visuals in L2 listening assessment contexts remain inconclusive. To better understand the underlying reasons for these inconclusive results,…

The Private School Universe Survey (PSS) is conducted by the National Center for Education Statistics (NCES) on behalf of the U.S. Department of Education to collect basic information on American private elementary and secondary schools. PSS is currently designed to generate biennial data on the total number of private schools, teachers, and…

Since the beginning of the COVID-19 pandemic, faculty members have faced a changed and challenging environment. They were faced with reallocating their time across various teaching, research, and service responsibilities; adjusting their teaching format, testing, and labs; and dealing with reduced access to the resources they needed to teach…

The Digital Equity Act (DEA), a provision within the Infrastructure Investment and Jobs Act (Public Law 117-58), includes a historic federal investment to promote digital equity, literacy, and inclusion. In particular, the State Digital Equity Capacity Grant Program will award nearly $1.5 billion in federal funds to states to support the…

This brief, the second in the series, advances a theory of change that centers the learner experience in strategies to improve institutional data collection and use and strengthen college information management systems. It is the second in the Advance CTE's Advancing Postsecondary CTE Data Quality Initiative (PDI) series highlighting five states…

This manuscript provides information on datasets pertaining to Project KIDS. Datasets include behavioral and achievement data for over 4,000 students between five and twelve years old participating in nine randomized control trials of reading instruction and intervention between 2005-2011, and information on home environments of a subset of 442…

Most higher education institutions in the United States would not be able to answer, "how many LGBTQ+ students are at your school?" Rarely are colleges and universities asking students to self-identify their sexual or gender identity, leading to disconnect with the community, gaps of information, and difficulty with outreach. The purpose…

Rater effects, or raters' tendencies to assign ratings to performances that are different from the ratings that the performances warranted, are well documented in rater-mediated assessments across a variety of disciplines. In many real-data studies of rater effects, researchers have reported that raters exhibit more than one effect, such as a…

The aim of the present study was to investigate the properties of paper-and-pencil data collection instruments developed to measure Computational Thinking (CT) based on several variables. Thus, keywords were identified and used in searches conducted in various databases. The outcomes of the search were analyzed based on the inclusion/exclusion…

Education and education research are experiencing increased digitization and datafication, partly thanks to the rise in popularity of massively open online courses (MOOCs). The infrastructures that collect, store and analyse the resulting big data have received critical scrutiny from sociological, epistemological, ethical and analytical…