This issue brief discusses how data science has emerged as a tool across all industries, resulting in a high demand for data-science experts and data analytics-enabled workers.

Mediated conversations are an innovative method for the generation of rich qualitative data on complex issues such as researchers often face in education contexts. The method draws from the sociocultural paradigm, which highlights the role of "artefacts" and "audience" in mediating participants' actions and thoughts. Mediated…

This study uses simulation examples representing three types of treatment assignment mechanisms in data generation (the random intercept and slopes setting, the random intercept setting, and a third setting with a cluster-level treatment and an individual-level outcome) in order to determine optimal procedures for reducing bias and improving…

There is such doubt in research practice about the reliability of difference scores that granting agencies, journal editors, reviewers, and committees of graduate students' theses have been known to deplore their use. This most maligned index can be used in studies of change, growth, or perhaps discrepancy between two measures taken on the same…

This article examines clustering as an educational data mining method. In particular, two clustering algorithms, the widely used K-means and the model-based Latent Class Analysis, are compared, using usage data from an educational digital library service, the Instructional Architect (IA.usu.edu). Using a multi-faceted approach and multiple data…

This article examines two methodological issues regarding ways of obtaining and analyzing outcome data for people with intellectual disabilities: (a) self-report and proxy-report data and (b) analysis of population-based data sets. Some people with intellectual disabilities have difficulties with self-reporting due to problems of understanding and…

The application of scientific data in the development and implementation of sound public policy is a well-established practice, but there appears to be less consensus on the nature of the strategies that can and should be used to incorporate research data into policy decisions. This paper describes the promise and the challenges of using research…

As part of our inquiry into how youth development and 4-H programming can affect the development of social capital for youth and for the community, we engaged youth in ripple mapping. Based on this information, we provide a typology of participation structures in youth development activities and the expected bridging and bonding social capital…

Data integration is a critical component of enterprise system integration, and XML data validation is the foundation for sound data integration of XML-based information systems. Since B2B e-commerce relies on data validation as one of the critical components for enterprise integration, it is imperative for financial industries and e-commerce…

Advances in technology now make it possible to capture detailed multimodal data about real-world everyday activity. Researchers have taken advantage of these advances to address questions about activity in more systematic and precise ways. Along with exciting opportunities to record data in ways that were not possible before, there are also…

Numerous organizations collect and distribute non-aggregate personal data for a variety of different purposes, including demographic and public health research. In these situations, the data distributor is responsible with the protection of the anonymity and personal information of individuals. Microaggregation is one of the most commonly used…

The aim of this paper is to discuss different approaches to the quality (or uncertainty) of measurement data considering both historical examples and today's students' views. Today's teaching of data analysis is very much focussed on the application of statistical routines (often called the "Gaussian approach" to error analysis). Studies on…

Living in learning societies encourages learning outside the classroom. Alongside this reality, higher education institutions have been incorporating policies and procedures that support recognition of prior learning (RPL). This development means establishing adequate RPL assessment practices. Our empirical study at the Aalto University Language…

During the early 2000s, state and local leaders developed career pathways programs in an effort to redesign education and workforce development systems to better meet the education and employment needs of low-income, educationally underprepared adults. These career pathways increase individual prosperity and regional competitiveness by aligning…

There are few higher education leaders today that command more national respect and admiration than Freeman A. Hrabowski III, the outspoken president of the University of Maryland, Baltimore County. Named one of America's Best Leaders by "US News & World Report" and one of "Time's" 100 Most Influential People in the World,…