TY  - JOUR
A1  - Tillmann, Alexander
A1  - Krömker, Detlef
A1  - Horn, Florian
A1  - Gattinger, Thorsten
T1  - Analysing & Predicting Students Performance in an Introductory Computer Science Course
JF  - Commentarii informaticae didacticae
N2  - Students of computer science studies enter university education with very different competencies, experience and knowledge. 145 datasets collected of freshmen computer science students by learning management systems in relation to exam outcomes and learning dispositions data (e. g. student dispositions, previous experiences and attitudes measured through self-reported surveys) has been exploited to identify indicators as predictors of academic success and hence make effective interventions to deal with an extremely heterogeneous group of students.
KW  - Blended learning
KW  - heterogeneity
KW  - Learning analytics
KW  - Learning dispositions
KW  - Dispositional learning analytics
KW  - Formative assessment
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-416307
IS  - 12
SP  - 29
EP  - 45
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  -