Analysing & predicting students performance in an introductory computer science course

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 r
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.
show moreshow less

Download full text files

Export metadata

  • Export Bibtex
  • Export RIS
Metadaten
Author:Alexander Tillmann, Detlef Krömker, Florian Horn, Thorsten Gattinger
URN:urn:nbn:de:hebis:30:3-468478
URL:https://publishup.uni-potsdam.de/files/41354/cid12.pdf
ISBN:978-3-86956-435-7
ISBN:3-86956-435-0
ISSN:1868-0844
ISSN:2191-1940
Parent Title (German):Hochschuldidaktik der Informatik HDI 2018 : 8. Fachtagung des GI-Fachbereichs Informatik und Ausbildung/Didaktik der Informatik ; 12.-13. September 2018 an der Goethe-Universität Frankfurt am Main, Commentarii informaticae didacticae (CID) ; 12
Publisher:Universitätsverlag Potsdam
Place of publication:Potsdam
Editor:Nadine Bergner, René Röpke, Ulrik Schroeder, Detlef Krömker
Document Type:Part of a Book
Language:English
Year of Completion:2018
Year of first Publication:2018
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2018/10/04
Tag:Blended learning; Dispositional learning analytics; Formative assessment; Learning analytics; Learning dispositions; heterogeneity
Pagenumber:17
First Page:29
Last Page:45
Note:
Dieses Werk ist unter einem Creative Commons Lizenzvertrag lizenziert: Namensnennung 4.0 International. Um die Bedingungen der Lizenz einzusehen, folgen Sie bitte dem Hyperlink: http://creativecommons.org/licenses/by/4.0/
HeBIS PPN:438707761
Institutes:Informatik
Dewey Decimal Classification:004 Datenverarbeitung; Informatik
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0

$Rev: 11761 $