Authors:
Carlos André Zavadinack
;
Fabiano Silva
;
Alexandre I. Direne
and
Alexander Kutzke
Affiliation:
Universidade Federal do Paraná, Brazil
Keyword(s):
Case-based Reasoning, Error Mediation, Knowledge Representation, Educational Informatics.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Classroom Management
;
Computer-Supported Education
;
e-Learning
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Learning Analytics
;
Virtual Learning Environments
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 us
eful in the designing of a tool for automatic creation of exams.
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