Educational data mining is an emerging research field concerned with developing methods for exploring the unique types of data that come from educational context. These data allow the educational stakeholders to discover new, interesting and valuable knowledge about students. In this paper, we present a new user-friendly decision support tool for…

Given the serious consequences of making ill-fated admissions and funding decisions for applicants to graduate and professional school, it is important to rely on sound evidence to optimize such judgments. Previous meta-analytic research has demonstrated the generalizable validity of the "GRE"® General Test for predicting academic…

Accurate teacher evaluations of student performance are crucial for effective teaching. This study examined whether students' immigration and language background affect teachers' evaluations. Multilevel analyses tested whether teachers overestimate the performance of immigrant relative to that of non-immigrant students. As part of the German PISA…

This study investigated the technical adequacy of 3 simple, 1-min curriculum-based measurements (CBM) for predicting third (n = 35) and fifth (n = 49) graders' performance on a state standards test of mathematics. Measures included 2 numeric CBMs: a traditional basic facts measure and a new "cloze" math facts measure, designed to require deeper…

Teachers' predictions of pupil success in elementary school were compared to pupil performance in terms of quartile placement on national test norms. Results indicated that teachers were able to predict reading achievement but had less predictive ability in other areas. (JKS)

This study evaluates the validity of two aggression scales for predicting observations of malicious or disruptive behavior at school. Subgroups of a sample of 1,560 children (age 8.6 plus or minus 1.5 years) were assessed using (a) peer nominations of aggression, (b) teacher reports on the Teacher Report Form (TRF) of the Child Behavior Checklist…

The composite of Armed Services Vocational Aptitude Battery (ASVAB) subtests used to select applicants for entry-level training in Army clerical schools was evaluated by correlating composite scores with training performance scores. Comparisons were made between the multiple R for this optimal set of predictors and that for the composite of…