Despite the large amount of research that has taken place with mobile devices for language learning over the years, there are still limited conclusions that can be reached as to what contributes to sustained task engagement. A common problem that has long been seen in the CALL literature is that many tasks and activities that are reported are…

Taking action to address health-related chronic absenteeism can have a powerful impact on students' academic success and build the foundation for healthy, successful lives. This document focuses on providing educators, particularly school district decision-makers, with knowledge and practical guidance for creating meaningful change to address…

Missing data are common in studies that rely on multiple informant data to evaluate relationships among variables for distinguishable individuals clustered within groups. Estimation of structural equation models using raw data allows for incomplete data, and so all groups can be retained for analysis even if only 1 member of a group contributes…

This event focused on the What Works Clearinghouse practice guide, "Using Student Achievement Data to Support Instructional Decision Making" (ED506645). During the event, the presenter, Sharnell Jackson, led school data teams in activities involving analysis of their own student data. This Q&A addressed the questions participants had…

The rise of digital game and simulation-based learning applications has led to new approaches in educational measurement that take account of patterns in time, high resolution paths of action, and clusters of virtual performance artifacts. The new approaches, which depart from traditional statistical analyses, include data mining, machine…

This publication examines how some States and local educational agencies (LEAs) are implementing teacher evaluations that incorporate measures of student achievement. The information in this publication was collected in response to a technical assistance request to the Reform Support Network from Maryland. Education leaders charged with designing…

The expertise reversal effect occurs when learner's expertise moderates design principles derived from cognitive load theory. Although this effect is supported by numerous empirical studies, indicating an overall large effect size, the effect was never tested by inducing expertise experimentally and using instructional explanations in a…

This paper introduces the scientometric method of main path analysis and its application in an exemplary study of the paths of knowledge development and the roles of contributors in Wikiversity. Data from two scientific domains in this online learning community has been used. We see this as a step forward in adapting and adopting network analysis…

What data should teachers use, and how should they use these data to improve their teaching? In this review, a diverse set of literature that addresses this question is categorized according to three distinct approaches: the diagnostic approach, the methods approach, and the teacher approach. Within the diagnostic approach, teachers collect data…

This paper considers the use of log data provided by learning management systems when studying whether students obey the problem-based learning (PBL) method. Log analysis turns out to be a valuable tool in measuring the use of the learning material of interest. It gives reliable figures concerning not only the number of use sessions but also the…

Studies that consider the displays that students create to organize data are not common in the literature. This article compares fifth through eighth graders' difficulties with the creation of bar graphs using either raw data (Study 1, n = 155) or a provided table (Study 2, n = 152). Data in Study 1 showed statistical differences for the type of…

The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…

Preventing bullying requires a comprehensive approach that includes a focus on school climate. We review the climate features shown to reduce bullying, then illustrate how School-wide Positive Behavioral Interventions and Supports (SWPBIS) applies these principles in practice. SWPBIS, grounded in multiple theories--behaviorism, social learning…

This pan Canadian participatory action research project involved faculty and managers in twelve Canadian colleges and institutes, nine employers, and 1300 students and workers in examining exemplary practice in essential skills as a way of catalyzing system change. Multiple sources of data were used in the three year project and key findings…

In recent years, there has been a growing interest in pedagogical documentation and the way in which it can be applied to advance pedagogical practices in early childhood education. This study is a case analysis which focuses on the transition phase from home to kindergarten of a toddler, Leo, and his family. Documentation was performed by the…