This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…

Data were collected for this study early in the school year to analyze the direct and indirect effects of word-level literacy skills (word recognition, spelling, and written vocabulary use) and handwriting fluency on writing quality across three genres of typewritten papers. We further explored whether typing fluency and text generation fluency…

Data were collected for this study early in the school year to analyze the direct and indirect effects of word-level literacy skills (word recognition, spelling, and written vocabulary use) and handwriting fluency on writing quality across three genres of typewritten papers. We further explored whether typing fluency and text generation fluency…

Cognitive skills are associated with academic performance, but little is known about how to improve these skills in the classroom. Here, we present the results of a pilot study in which teachers were trained to engage students in cognitive skill practice through playing games. Fifth-grade students at an experimental charter school were randomly…

Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…

Interest in 21st century skills has brought concomitant interest in ways to teach and measure them. Games hold promise in these areas, but much of their potential has yet to be proven, and there are few examples of how to use the rich data from games to make inferences about players' knowledge, skills, and attributes. This article builds an…

Applied early adolescent researchers often sample students (Level 1) from within classrooms (Level 2) that are nested within schools (Level 3), resulting in data that requires multilevel modeling analysis to avoid Type 1 errors. Although several articles have been published to assist researchers with analyzing sample data nested at two levels, few…

Accountability systems that measure student learning rather than student achievement have the potential to more accurately evaluate school quality. However, one methodological concern has remained surprisingly absent from discussions of value-added modeling. Standardized assessments that exhibit either positive or negative correlations between…

This study examined the impact of computer-assisted instruction on the mathematics performance of underachieving fifth-grade students in a rural school district in South Carolina. The instructional technology program ([IF) is South Carolina's response to addressing the needs of its young, struggling math students. The 449 fifth-grade students in…

In this study, we examined how the relationships between one observation protocol, the Protocol for Language Arts Teaching Observation (PLATO), and value-added measures shift when different tests are used to assess student achievement. Using data from the Measures of Effective Teaching Project, we found that PLATO was more strongly related to the…

Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…

Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…

This mixed design study investigated the predictive and instructional uses of two different types of interim mathematics assessments given in two different districts. One district administered the same summative type of assessment three times a year, while the other district administered a different interim assessment after six-week intervals of…

The National Center of Education Statistics' Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS-K) data were used to explore the curricular emphasis in schools of varying socioeconomic status in both public and private schools. Data collected between 1998 and 2003 were used in the secondary analyses of curricular emphasis in…

Accountability in education has prompted policy makers and practitioners to focus on data use for instructional and organizational decision-making. The popular media have seized on Value Added (VA) measures as a key type of data use for reforming U.S. schools. Among education researchers, however, there are both critics and proponents. We examined…