Educational data mining (EDM) is an emerging discipline that focuses on applying data mining tools and techniques to educationally related data. The discipline focuses on analyzing educational data to develop models for improving learning experiences and improving institutional effectiveness. A literature review on educational data mining topics…

In recent years the Metropolitan School District of Wayne Township in Indianapolis has been awash in data. In attempts to improve levels of student achievement, the authors collected all manner of statistical details about students and schools and attempted to perform data analysis as part of the school improvement process. The authors were never…

A data-management system adhering to seven principles (concerned with defining and measuring characteristics and their interrelationships) is feasible and exists in parts, if not as an integrated whole. Present data-collection and reportage systems lack the real-time, analytic longitudinal characteristics that contemporary technology promises and…

This paper describes analytical concepts that can be applied to a comprehensive database containing information on students, teachers, and schools. The concepts are presented in terms of displays, potential inferences, and possible difficulties. Statistical techniques are mentioned, but not rigorously developed. Focus is on displays that can be…

This publication describes an evaluation design developed to assess school-to-work (STW) efforts throughout the Saginaw Valley STW Partnership area in Michigan. An introduction is followed by an overview of the aim of evaluation. Section 3 describes how the variables pertinent to the evaluation of the STW program initiative were identified,…