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.

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…

The learning sciences community's interest in learning analytics (LA) has been growing steadily over the past several years. Three recent symposia on the theme (at the American Educational Research Association 2011 and 2012 annual conferences, and the International Conference of the Learning Sciences 2012), organized by Paulo Blikstein, led…

This paper describes research on a course assignment, the research portfolio, designed for a two-course teacher research experience in a Masters of Arts in Teaching program. The focus of the assignment is the process of data collection and analysis that is critical to the success of teacher research. We sought a way to help our teacher candidates…

In this paper we examine ways to conceptualize and address potential bias that can arise when the mechanism for missing outcome data is at least partially associated with treatment assignment, an issue we refer to as treatment confounded missingness (TCM). In discussing TCM, we bring together concepts from the methodological literature on missing…

In light of the prosperity of online social media, Web users are shifting from data consumers to data producers. To catch the pulse of this rapidly changing world, it is critical to transform online social media data to information and to knowledge. This dissertation centers on the issue of modeling the dynamics of user communities, trending…

To date, evaluation research and policy analysis have focused mainly on average program impacts and paid little systematic attention to their variation. Recently, the growing number of multi-site randomized trials that are being planned and conducted make it increasingly feasible to study "cross-site" variation in impacts. Important…