Root cause analysis is a powerful method schools use to analyze data to solve problems; it aims to identify and correct the root causes of problems or events, rather than simply addressing their symptoms. In this webinar, veteran practitioner, Roni Silverstein, talked about the value of this process and practical ways to use it in your school or…

Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…

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…

Few school leaders are experiencing a shortage of data. Most are actually drowning in data, with a wealth of test scores, student demographic information, and an increasing load of "formative" assessment data that may or may not be worthy of the name (Popham, 2008). The challenge is facing both an overabundance of data and a scarcity of…

As more community colleges focus on using data to improve educational outcomes, many administrators are considering business intelligence applications that promise a path toward more informed decisions. Getting there, leaders say, requires more than installing some out-of-the-box solution; it requires changing the culture and finding skilled…

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…

Data acquisition and analysis are cornerstones for informed decision making about the environment. Facts and figures are vital to the practical application of systems and products. These data are collected through various means and organized into useful forms (i.e., visual imagery, datasets, and sounds). Whether collected by persons or obtained…

These days, "data-driven decision making" is on every school district's buzzword bingo game board. Accountability pressures and lean budgets make translating data into information a major focus of school systems that are trying to improve district outcomes in all areas. As such, data warehousing has become an essential district tool. Historically…

This paper introduces a new decision support tool, data mining, in the context of knowledge management. The most striking features of data mining techniques are clustering and prediction. The clustering aspect of data mining offers comprehensive characteristics analysis of students, while the predicting function estimates the likelihood for a…

In responding to internal and external pressures for accountability in higher education, especially in the areas of improved learning outcomes and student success, IT leaders may soon become critical partners with academic and student affairs. IT can help answer this call for accountability through "academic analytics," which is emerging…

Decision makers have always relied on a mixture of qualitative and quantitative information. Recently, two technological tools--spreadsheets and the Internet--have dramatically altered how decision makers analyze quantitative information, thus necessitating curriculum changes in programs to prepare students to use these tools effectively. Harvard…