Educational data mining can miss or misidentify key findings about student learning without a transparent process of analyzing the data. This paper describes the first steps in the process of using low-level logging data to understand how middle school students used Alice, an initial programming environment. We describe the steps that were…

Science teachers and graduate students have developed activities and assessment tools that begin to help students make the distinction between data and evidence. Two activities are covered in this article. (Contains 1 resource and 2 figures.)

The importance of school counselors in influencing positive change in students is well established. Far less research is available documenting school counselor use of data driven decision making to positively impact identified groups of at risk students. Hispanics represent the largest and fastest growing student population for academic…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…