Using Local and Global Self-Evaluations to Predict Students' Problem Solving Behaviour

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Lenka Schnaubert
  • Eric Andrès
  • Susanne Narciss
  • Sergey Sosnovsky
  • Anja Eichelmann
  • Giorgi Goguadze
This paper investigates how local and global self-evaluations of capabilities can be used to predict pupils’ problem-solving behaviour in the domain of fraction learning. To answer this question we analyzed logfiles of pupils who worked on multi-trial fraction tasks. Logistic regression analyses revealed that local confidence judgements assessed online improve the prediction of post-error solving, as well as skipping behaviour significantly, while pre-assessed global perception of competence failed to do so. Yet, for all computed models, the impact of our prediction is rather small. Further research is necessary to enrich these models with other relevant user- as well as task-characteristics to make them usable for adaptation.
Original languageEnglish
Title of host publication21st Century Learning for 21st Century Skills : 7th European Conference of Technology Enhanced Learning, EC-TEL 2012, Saarbrücken, Germany, September 18-21, 2012. Proceedings
EditorsAndrew Ravenscroft, Stefanie Lindstaedt, Carlos Delgado Kloos, Davinia Hernández-Leo
Number of pages14
PublisherSpringer Verlag
Publication date2012
Pages334-347
ISBN (print)978-3-642-33262-3
ISBN (electronic)978-3-642-33263-0
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event7th European Conference for Technology-Enhanced Learning EC- TEL 2012 - Saarbrücken, Germany
Duration: 18.09.201221.09.2012
Conference number: 7
http://www.prolearn-academy.org/Events/ec-tel-2012-seventh-european-conference-on-technology-enhanced-learning

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