The purpose of this invited paper is to show the learning disabilities field what LDbase is, why it's important for the field, what it offers the field, and examples of how you can leverage LDbase in your own work.

Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD.…

The federal trust responsibility is a legal obligation, rooted in legal and political precedent, in which the U.S. government commits to protect tribal sovereignty, resources, and welfare. For Indigenous communities, there is a long history of broken promises between the U.S. and tribal governments through discriminatory policies and a lack of…

Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…

We draw upon Appadurai's 'scapes' and Latour's Actor Network Theory (ANT) to interrogate historical and spatial flows in relation to specific testing technologies. We reveal how testing systems, conceptualised as actor-networks, rearticulate colonial legacies of inequality which are intensified by new and emerging technologies. ANT helps trace…

To meet student demand for responsive, adaptable, and up-to-date online courses, educators and learning designers need tools to analyse student interactions with their peers, educators and learning resources. Learning Management Systems (LMSs) store large volumes of detailed user data, but offer only limited, pre-set reports and visualizations to…

Secondary data analysis can benefit researchers of advanced academics by providing large sample sizes and a variety of data on multiple topics. However, using secondary data comes with unique challenges. This article will outline how gifted education researchers can find, access, and use secondary data. Data are available on children from birth to…

The present work describes the challenges faced during the development of a countrywide Learning Analytics study and tool focused on tracking and understanding the trajectories of Uruguayan students during their first three years of secondary education. Due to the large scale of the project, which covers an entire national educational system,…

This contribution takes a critical perspective on digital school performance platforms (SPP), which today play a key role in US state education monitoring and accountability. Using examples from two different US state education agencies, I provide an analytical disentanglement of some key dimensions of such platforms' enactment and materiality. I…

State databases offer researchers the opportunity to conduct research using data collected by states. These databases contain financial, demographic, and accountability data. Accessing and acquiring data from these repositories, though, can offer challenges to scholars interested in conducting research. This brief describes the type of data…

Introduction: The purpose of this study was to determine how many young children and students (birth to 22 years old) were identified with visual impairments and receiving special education services in the United States. Professionals estimate at least 50% of students with visual impairments have additional disabilities and are not identified as…

This article reports the results of a nationwide questionnaire survey of 1,104 Japanese higher education institutions conducted in late 2015 and early 2016. Its goal was to investigate the current status and issues related to the utilization and disclosure of educational information. A total of 248 institutions responded to the survey. Based on…