The Education Insights Center produced a series of reports culminating in recommendations for the structure and governance of a preschool through higher education and into the workforce (known as a P20W data system). This brief follows up on that series, with a focus on data quality; the brief was informed by the author's experience using…

This guide is for any individual seeking to develop knowledge and practical skills related to the "Quality Indicators with Critical Components for K-12." The target audience includes administrators, educators, and service providers at the state and local levels, as well as families of students with disabilities. As a result of completing…

The intergenerational transmission of traditional language and culture is at the core of Yol?u Indigenous knowledge practices. The homeland of Gäwa in remote Arnhem Land, Northern Territory, was established by Warramiri clan kinship networks to provide an appropriate place for this crucial role to continue. Technologies have long played a part in…

Fifty years of research has found great potential for peer assessment as a pedagogical approach. With peer assessment, not only do students receive more copious assessments; they also learn to become assessors. In recent decades, more educational peer assessments have been facilitated by online systems. Those online systems are designed…

This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…

Higher education is a key driver of economic mobility and future growth in California. Yet there is much unknown about how students advance from K-12 schools to postsecondary education and into the workforce--and where they falter. This lack of knowledge stems from the fragmented nature of California's education data and inhibits informed decision…

Two problems at two different abstraction levels of computational biology are studied. At the molecular level, efficient pattern matching algorithms in DNA sequences are presented. For gene order data, an efficient data structure is presented capable of storing all gene re-orderings in a systematic manner. A common characteristic of presented…

National College Access Network (NCAN) has heard repeatedly and consistently over the years that one of the best aspects of network membership is the ability to collaborate with and learn from other members. In an effort to further the transfer of ideas, in the summer of 2016 NCAN hosted a series of four Idea Incubators across the country, which…

The Ministry of Advanced Education, post secondary institutions, and others require data for a variety of purposes, including research and analysis, as a basis for decision-making, and to satisfy accountability requirements. The Central Data Warehouse (CDW) was developed to serve those purposes by collecting a standard set of data from public…

Electronic health records (EHRs) have been in use since the 1960s. U.S. rural hospital leaders and administrators face significant pressure to implement health information technology because of the American Recovery and Reinvestment Act of 2009. However, some leaders and managers of small rural hospital lack strategies to develop and implement…

Information sources such as relational databases, spreadsheets, XML, JSON, and Web APIs contain a tremendous amount of structured data, however, they rarely provide a semantic model to describe their contents. Semantic models of data sources capture the intended meaning of data sources by mapping them to the concepts and relationships defined by a…

The current early care and education (ECE) policy context is bringing increased attention to the training completed by the child care workforce and to the use of registries to track such training. Although ECE workforce registries are designed to record individuals' data, aggregate registry data have the potential to shed light on the workforce's…

An ontology expresses a common understanding of a domain that serves as a basis of communication between people or systems, and enables knowledge sharing, reuse of domain knowledge, reasoning and thus problem solving. In Technology-Enhanced Learning, especially in Intelligent Tutoring Systems and Adaptive Learning Environments, ontologies serve as…

There are several types of data systems that support data from Part C/619 programs. Although the system types have similarities, each has its own unique characteristics and purposes. The attributes that make one type of data system a particularly good fit for one data-related need or function can be less desirable for another need or function. In…

Many organizations are dealing with the increasing demands of big data, so they are turning to NoSQL databases as their preferred system for handling the unique problems of capturing and storing massive amounts of data. Therefore, it is likely that employees in all sizes of organizations will encounter NoSQL databases. Thus, to be more job-ready,…