Value-added measures of educational progress have been used by education researchers and policy-makers to assess the performance of teachers and schools, contributing to performance-related pay and position in school league tables. They are designed to control for all underlying differences between pupils and should therefore provide unbiased…

California's K-12 system relies on the Smarter Balanced Assessment Consortium (SBAC) English and mathematics tests to measure student academic progress and assess school and district performance. This report uses publicly available data to explore trends in student performance during the first three years this test has been in place. Key findings…

Charter schools today serve more than 3 million students. Nationally, these students account for approximately 6 percent of all K-12 enrollment, though the percentage is much higher in many communities. Research shows that charter schools on average have a positive impact on student outcomes, and survey data suggest that there are an additional…

This study took place in an urban high school that implemented the data-driven school improvement plan after it received a grade of "F" in 2010. This school experienced significant growth during the next three years and received a letter grade of "C" in 2011, "B" in 2012, and "A" in 2013. I examined the role…

Increasing demands for accountability from both the public and the government have resulted in increasing pressure for higher education professionals to use data to support their choices. There is significant speculation that professionals at all levels of education lack the knowledge to implement data-driven decision making. However, empirical…

The accountability movement in education has caused school administrators and teachers to think differently about how they report, interpret, and use student assessment data. For example, legislative measures such as No Child Left Behind require school officials to report how all students are progressing toward established standards typically…

This document presents an interactive visual guide that explains what data are, how they help, and what people can do with them. It also offers ways to enact statewide policies that support effective data use.

Learning a more distributed representation of the input feature space is a powerful method to boost the performance of a given predictor. Often this is accomplished by partitioning the data into homogeneous groups by clustering so that separate models could be trained on each cluster. Intuitively each such predictor is a better representative of…

The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This "First Look" presents findings from the preliminary data of the…

This annual publication provides a summary of training activity in apprenticeships and traineeships in Australia for the period 2001 to 2011. It includes information on training rates, individual completion rates, and duration of training. Highlights include: (1) 3.9% of Australian workers were employed as an apprentice or trainee as at December…

Text analysis has become an important research activity in the Department of Veterans Affairs (VA). Statistical text mining and natural language processing have been shown to be very effective for extracting useful information from medical documents. However, neither of these techniques is effective at extracting the information stored in…

Purpose: DBpedia extracts structured information from Wikipedia, interlinks it with other knowledge bases and freely publishes the results on the web using Linked Data and SPARQL. However, the DBpedia release process is heavyweight and releases are sometimes based on several months old data. DBpedia-Live solves this problem by providing a live…

This article examines the possibilities of photography as a tool for Qualitative Research data collection, data analysis, and display. The authors argue that the new vanguard of Educational Technologies (ETs) further illuminates the analytical possibilities of photographic data and ETs can serve as an engaging way to interact with meaning-making…

As a university lecturer, I find that a frequent question raised by Masters students concerns the methodology chosen for research and the rationale required in dissertations. This paper unpicks some of the philosophical coherence that can inform choices to be made regarding methodology and a well-thought out rationale that can add to the rigour of…

In order to enhance Extension evaluation efforts it is important to understand current practices. The study reported here researched the evaluation behaviors of county-based Extension professionals. Extension professionals from eight states (n = 1,173) responded to a survey regarding their evaluation data collection, analysis, and reporting…