An Automatic Method for Structuring and Recommending Exercises - In Light of Case-based Reasoning, Knowledge Representation and Error Mediation

Carlos André Zavadinack, Fabiano Silva, Alexandre I. Direne, Alexander Kutzke

2017

Abstract

Case-based Reasoning (CBR) is a method for solving problems with similar retained solutions. CBR demands a knowledge representation that allows the reasoner to find similar cases by a query and the similarity rate is given by a distance in hierarchical tree structure, an ontology. The main goal of this research is to use CBR as a pedagogical tool supported by three pillars: Case-based reasoning, Knowledge representation and Error Mediation in Education. It is considered that the error has a role of importance in the pedagogical development, so it has to be mediated. The error mediation is used as a rule for a quantitative classification of exercises, it takes into account how many times an exercise have been uncorrected answered, the distance between exercises gives the similarity between them. This kind of automatically classification for exercises in a educational support systems is one of the main contributions of this research. This work suggests that the CBR cycle is useful in the designing of a tool for automatic creation of exams.

Paper Citation

in Harvard Style

Zavadinack C., Silva F., Direne A. and Kutzke A. (2017). An Automatic Method for Structuring and Recommending Exercises - In Light of Case-based Reasoning, Knowledge Representation and Error Mediation . In Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-239-4, pages 355-362. DOI: 10.5220/0006318903550362

in Bibtex Style

@conference{csedu17,
author={Carlos André Zavadinack and Fabiano Silva and Alexandre I. Direne and Alexander Kutzke},
title={An Automatic Method for Structuring and Recommending Exercises - In Light of Case-based Reasoning, Knowledge Representation and Error Mediation},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2017},
pages={355-362},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006318903550362},
isbn={978-989-758-239-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - An Automatic Method for Structuring and Recommending Exercises - In Light of Case-based Reasoning, Knowledge Representation and Error Mediation
SN - 978-989-758-239-4
AU - Zavadinack C.
AU - Silva F.
AU - Direne A.
AU - Kutzke A.
PY - 2017
SP - 355
EP - 362
DO - 10.5220/0006318903550362