The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data. This paper describes our top-down approach for engineering features by means of psychometric modeling, aiming at machine learning for the predictive classification task. For feature engineering, we employed, among others, the Log-Normal…

This study of institutional categorization reports an investigation of the practices, procedures and assumptions of psychiatric staff members when diagnosing ADHD. The main data upon which the study is based consist of transcribed audio recordings of meetings in the psychiatric clinic. Here children referred from primary schools on the suspicion…

Attributes of teaching and learning contexts provide rich information about how students participate in learning activities. By tracking and analyzing snapshots of these attributes captured continuously throughout the duration of the learning activities, teachers can identify individual students who need special attention and apply different…

Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…

A study to explore the effectiveness of the Columbus, Ohio, Public School Systems' compensatory education program on the reading and mathematics achievement of pupils in fourth, fifth, and sixth grades was conducted. Intent of the study was (1) To study the differential achievement reached by all eligible pupils; and (2) To analyze a selected…