Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…

Alignment between K-12 education and the workforce is critical because jobs are changing. Students must be prepared not only for the jobs of today but also for the jobs of the future. Securely linking data between state K-12 and workforce data systems can create a bridge between these agencies as they develop shared career readiness goals for…

This issue brief describes the programs and systems of the MDRC Center for Data Insights. Ranging from simple descriptive summaries to advanced machine learning algorithms, the Center's eight current projects aim to use institutions' increasingly rich data to provide new insights that can help refine and target their client's services: (1)…

Research has begun to show that certain schoolwide characteristics--such as student-centered learning environments, leadership, and safety--can be important for improving student outcomes. In keeping with these insights, school improvement efforts around the country are becoming less narrowly focused on the performance of individual students and…

This report was commissioned by the Global Partnership for Education's Secretariat to take stock of how disability and inclusive education are in included in education sector plans (ESPs) in 51 countries, including GPE-funded programs, such as education sector program implementation grants (ESPIGs), program documents (PADs), implementation…

In this article the authors describe an instructional unit designed and taught in two classes of kindergarten children. The goals of the unit were to present a "driving question" to motivate the process of statistical investigation, to genuinely engage children in the stages of statistical investigation, and to facilitate them in…

In this article, the author argues that student data is more than just test scores. Alex Kajitani notes that data matter because they provide crucial information to teachers that enable them to better serve their students. Teachers can use data to determine students' strengths and areas of need. The effective use of data means being able to…

When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…

The South Dakota Department of Education (DOE) collects education records from local schools and districts in accordance with federal and state laws and regulations. This policy document establishes the procedures and protocols for accessing, maintaining, disclosing, and disposing of confidential data records, including data records containing…

The purpose of this study was to understand how shared norms are developed in the early phase of multicultural team (MCT) formation. The development of shared norms is recognized as critical to MCTs' contributions to organizations, and they are a result of the cognitive adjustment of the team members in recognition of their differences (Brandl…

Amid a growing debate over the use of standardized test scores, states and districts across the country have begun using alternative measures of school quality, including surveys of students and teachers. As a result, many schools now have access to troves of diagnostic data on student and teacher perception. However, with few established…

This research note discusses opportunities and challenges of using online survey engines for social network analysis (SNA) data collection and assessing sample size and representativeness. The discussion is based on a case study of SNA data collection for a pilot research on health-relevant policy networks in Canada. Our approach demonstrates how…

Short message service (SMS or text messaging) surveys can collect data quickly and inexpensively. However, SMS surveys have space constraints that pose difficulties to questionnaire designers: Questions can only be 160 characters or less, surveys must be short, and many respondents use phones with small screens. In this article, we compare SMS and…

The present study examines bias in parameter estimates and standard error in cross-classified random effect modeling (CCREM) caused by omitting the random interaction effects of the cross-classified factors, focusing on the effect of a sample size within cells and ratio of a small cell. A Monte Carlo simulation study was conducted to compare the…

Purpose: The purpose of this paper is to present the METAL project, a French open learning analytics (LA) project for secondary school, that aims at improving the quality of teaching. The originality of METAL is that it relies on research through exploratory activities and focuses on all the aspects of a learning analytics environment.…