Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…

A survey of all 50 states and District of Columbia was conducted in Fall 2020 to gain background information to inform an Institute of Museum and Library Services (IMLS) grant project called SLIDE: The School Librarian Investigation--Decline or Evolution? As part of the grant, a school library leader, some in a state government/agency position or…

Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…

There is demand among policy-makers for the use of state education longitudinal data systems, yet laws and policies regulating data disclosure limit access to such data, and security concerns and risks remain high. Well-developed synthetic datasets that statistically mimic the relations among the variables in the data from which they were derived,…

California has long been a national and global leader in developing and maintaining quality higher education options, as well as in providing financial aid and consumer protections for Californians who access that education. However, although California's colleges and the state government do collect, receive, and report a great deal of data, these…

Reusable educational resources became increasingly important for enhancing learning and teaching experiences, particularly in the medical domain where resources are particularly expensive to produce. While interoperability across educational resources metadata repositories is yet limited to the heterogeneity of metadata standards and interface…

In July 2013, the Early Childhood Data Collaborative (ECDC) surveyed 50 states and the District of Columbia to assess state early childhood data systems. The survey, completed by state education, health, and social services staff, focused on these three key aspects of state data systems, taken from ECDC's 10 Fundamentals: (1) Do states have the…

Scientific research is undergoing a "big data" revolution, as probes deployed in oceans, the atmosphere, and outer space provide near real-time data streams. As more and more data sets such as Ocean Tracks become available online, opportunities to engage students in the "Next Generation Science Standards" (NGSS Lead States…

Classification, clustering and association mining are major tasks of data mining and have been widely used for knowledge discovery. Associative classification mining, the combination of both association rule mining and classification, has emerged as an indispensable way to support decision making and scientific research. In particular, it offers a…

ED"Facts" is a U.S. Department of Education (ED) initiative to govern, acquire, validate, and use high-quality, kindergarten through grade 12 (K-12) performance data for education planning, policymaking, and management and budget decision making to improve outcomes for students. ED"Facts" centralizes data provided by state…

A media strategy was developed to disseminate Canadian child maltreatment surveillance data. Print media were systematically searched and 29 articles reporting on the data were retrieved. Using content analysis, the articles were analyzed to assess informational accuracy and to understand how the media framed the issue of maltreatment. This…

"Harvard Education Letter" is published bimonthly at the Harvard Graduate School of Education. This issue of "Harvard Education Letter" contains the following articles: (1) Integrated Data Systems Link Schools and Communities: Researchers Combine School and Non-School Data to Inform Interventions and Policy (Patti Hartigan);…

While states have made tremendous progress building the capacity to collect longitudinal data, developing the systems and practices to tap into P-20W data remains a nascent effort in most states. This primer aims to provide policymakers with information and recommendations to propel states' progress toward using P-20W data to prepare…

This study describes one of possible way of usage ICT in education system. We basically treated educational system like Business Company and develop appropriate model for clustering of student population. Modern educational systems are forced to extract the most necessary and purposeful information from a large amount of available data. Clustering…

By examining large, computer-readable databases at the federal, regional, and state level, this report addresses the degree to which data collected by the state education agencies can be used to describe the condition of rural education. The states covered in this report are Illinois, Indiana, Iowa, Michigan, Minnesota, Ohio, and Wisconsin.…