Scientific Data Analysis Toolkit (SDAT) is a rigorous, versatile, and user-friendly data analysis add-in application for Microsoft Excel for Windows (PC). SDAT uses the familiar Excel environment to carry out most of the analytical tasks used in data analysis. It has been designed for student use in manipulating and analyzing data encountered in…

The field of learning analytics holds considerable promise for higher education, with reports of successful uses now emerging in selected institutions. At the same time, critics have expressed concerns regarding privacy, ethics, and intrusions into teachers' pedagogy. Without attentive planning, higher-education professionals applying learning…

In this article, we describe a large-scale living learning community (LLC) for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide explanations of why an LLC is beneficial; the…

When Superintendent Curtis Craig, Ed.S., came to the Rensselaer Central Schools Corporation in 2015, he discovered an assessment problem common to many districts. The assessment results--Renaissance STAR and Acuity at the time--were not well aligned to the new, more rigorous standards the district and state had recently adopted. In addition, some…

State policymakers recognize the economic imperative to ensure that education and training are connected to good jobs. Employers are seeking -- and are often struggling -- to hire appropriately skilled workers. For job seekers, the path to a good job with education beyond a high school diploma is certainly clearer than one without postsecondary…

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…

Learning analytics is receiving increased attention, in part because it offers to assist educational institutions in increasing student retention, improving student success, and easing the burden of accountability. Although these large-scale issues are worthy of consideration, faculty might also be interested in how they can use learning analytics…

Of the many inequities in the education system, gaps in access to strong teaching have proven to be among the most stubborn. That is not to say that there are not excellent teachers in high-poverty schools. Research shows an indisputable and wide-spread pattern in schools and districts across the country: Low-income children and children of color…

In 1995, the Indiana Association of Residential Child Care Agencies (IARCCA), an association of children and family services, responded to a request to demonstrate effectiveness of residential care. The organization developed a vision for evaluating outcomes that incorporated collaboration with others, use of data and projection toward the future.…

Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches generally referred to as analytics. Big data and analytics for instructional applications are in their infancy and will take a few years to mature, although their presence is…

On February 1, 2012, Indiana Governor Mitch Daniels signed a "right to work" (RTW) provision in the state's labor laws, making Indiana the 23rd RTW state in the nation. In addition to becoming the 23rd RTW state in the nation, Indiana is the first in more than a decade to pass a law undermining the ability of unions to organize and…

The "Foundations" (English/language arts, mathematics, social emotional skills, approaches to play and learning, science, social studies, creative arts, and physical health and growth) are Indiana's early learning development framework and are aligned to the 2014 Indiana Academic Standards. This framework provides core elements that…

The authors describe the University of Central Florida's top-down/bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors…

Nearly every high-priority item in national, federal, state, and local discussions about education--and policy proposals across the political spectrum--requires high-quality longitudinal data to inform its design, implementation, and evaluation. This factsheet shares Data Quality Campaign's (DQC's) analysis of what "Data for Action 2011:…

Assessment is a worthwhile undertaking when meaningful data are generated, evidence-based improvement initiatives are thoroughly considered and discussed, and results are ultimately used to improve educational effectiveness. National Survey of Student Engagement (NSSE) results are oriented toward such practical use. Each year, more campuses use…