Purpose: This paper aims to consider ways to visually model data generated by qualitative case studies, pointing out a need for visualizations that depict both synchronic relations across representations and how those relations change diachronically. To develop an appropriate modeling approach, the paper critically examines Max Boisot's I-Space…

The African Data Initiative started as a crowd-sourced campaign to improve the teaching of statistics in African universities. The analysis of climate data provides one suitable context to illustrate ideas that lead to a radical new form of teaching. The problem within the context comes first, the technicalities are largely reduced -- mathematics…

When developing case studies within a longitudinal study of special educational needs provision within the Republic of Ireland, the authors were conscious of the critiques of the use of this approach within educational research. The difficulties associated with generalisation, challenges of ensuring trustworthiness and the possibilities of…

Current high-stakes accountability mandates emphasize data use for school improvement. However, teachers often lack training for effective data use, and data is often too far removed from students to actually influence instructional practice. This qualitative case study was designed to gain a better understanding of a district-wide,…

Flooding is the most frequently occurring natural hazard on Earth; with catastrophic, large scale floods causing immense damage to people, property, and the environment. Over the past 20 years, remote sensing has become the standard technique for flood identification because of its ability to offer synoptic coverage. Unfortunately, remote sensing…

Empirical evidence on the way in which expert designers from different domains cognitively connect their internal processes with external resources is presented in the context of an extended cognition model. The article focuses briefly on the main trends in the extended design cognition theory and in particular on recent trends in information…

As accountability systems have increased demands for evidence of student learning, the use of data in education has become more prevalent in many countries. Although school and administrative leaders are recognizing the need to provide support to teachers on how to interpret and respond to data, there is little theoretically sound research on…

This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…

The expectation that educators will use data in the service of school improvement and planning is a major feature of national and local reform agendas. Prior research has found that the principal plays a critical role in making policymakers' visions for data use a reality at the school and classroom levels. Most prior studies, however, have not…

This study used a purposeful sample of five public non-charter elementary schools in Hawai`i. The schools, located on two different islands, displayed evidence of improving academic performance and consistently outperformed the state average growth in scores on the Hawai`i State Assessment (HSA). These schools had mid to high percentages of…

The goal of this article is to present a series of conceptual, statistical, and practical issues in the modeling of multi-level dyadic data. Distinctions are made between distinguishable and undistinguishable dyads and several types of independent variables modeled at the dyadic level of analysis. Multi-level modeling equations are explained in a…

The interactions that students have with each other, with the instructors, and with educational resources are valuable indicators of the effectiveness of a learning experience. The increasing use of information and communication technology allows these interactions to be recorded so that analytic or mining techniques are used to gain a deeper…

Through comparative case study, we seek to understand the ways in which actors in high schools use and think about performance data. In particular, we compare data use in higher and lower value-added schools. Data use is conceptualized here as having access to a host of available performance data on students, using them to guide instructional…

The top priority for the U.S. Department of Education's new Race to the Top-District (RTT-D) competition is to create personalized-learning environments to bolster student achievement: "Absolute Priority 1: Personalized Learning Environments. To meet this priority, an applicant must coherently and comprehensively address how it will build on…

This study presents case studies of rural elementary schools in Hawaii that examine resource allocation strategies that promote student achievement. The combined frame work of the Evidence Based Model (Odden & Picus, 2008) and the 10 Strategies for Doubling Student Performance (Odden, 2009) were utilized to compare actual school resources and…