We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

The foundation of school success is laid early in children's lives. Consequently, assessments of academic precursors may help to identify children in need of additional support. Such early assessments could also be interesting from an international perspective when educational systems are compared. This analysis is used to inform on the…

Many societies are encountering significant changes in their population structure as the number of older people is increasing while children and adolescents become fewer. This study examines pupils' attitudes towards elderly people in Germany. A total of 935 pupils (458 boys, 477 girls) participated in this study. Grade distribution was as…

This article applies the theory of planned behaviour (Ajzen 1988, 1991) to analyse the decision of students to attain a more advanced certificate than the one dictated by their school track. The analyses were based on a longitudinal survey of 1,010 Hauptschule students in Germany in years 8 and 10. Consistent with the theory, the results showed…

When humans predict criterion events based on probabilistic predictors, they often lend excessive weight to the predictor and insufficient weight to the base rate of the criterion event. In an operant analysis, using a matching-to-sample paradigm, Goodie and Fantino (1996) showed that humans exhibit base-rate neglect when predictors are associated…

The present study examined to which extent different motivational concepts contribute to the prediction of school achievement among adolescent students independently from intelligence. A sample of 342 11th and 12th graders (age M = 16.94; SD = .71) was investigated. Students gave self-reports on domain-specific values, ability self-perceptions,…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…