Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…

Forecasting the enrollments of new students in bachelor's systems became an urgent desire in the majority of higher education institutions. It represents an important stage in the process of making strategic decisions for new course's accreditation and optimization of resources. To gain a deep view of the educational forecasting context, the most…

Recent and rapid technological advances have given rise to an explosive growth of data, along with low-cost solutions for accessing, collecting, managing, and analyzing data. Despite the advances in technology and the availability of data, social work organizations routinely encounter data-related problems that have an impact on their…

Background: Although blended learning (BL) has multiple educational prospects, it also poses challenges such as keeping students motivated. Objectives: This study investigates students' perceptions of how learning analytics (LA) can be used to support the design of a BL environment in order to promote students' basic need for relatedness, which is…

Amidst ongoing technological and social change, this article explores the implications for critical education that result from a data-driven model of digital governance. The article argues that traditional notions of critique which rely upon the deconstruction and analysis of texts are increasingly redundant in the age of datafication, where the…

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…