Automated Evaluation of Learners with ODALA: Application to Relational Databases E-learning
Keywords
Self-learningError diagnosis
Learner's evaluation
Learner's marking
Learner's model
E-learning.
Electronic computers. Computer science
QA75.5-76.95
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This paper deals with an approach for an automated evaluation of the learners' state of knowledge when learning by doing. This approach is called ODALA for qOntology-Driven Auto-evaluation for e-Learning Approachq. It takes place in the context of Computer Based Human Learning Environment (CBHLE) in a self-learning by doing mode. ODALA is based on the teaching domain ontology and on errors classification and detection. The evaluation process is composed of four stages: (1) form analysis of learner's solutions, (2) semantic analysis, (3) marking, and (4) updating of the learner's model. We bring the approach into play in the context of relational databases teaching: we present the results of the relational databases self-learning system (RDB-E-LEARN) development, where the main stages of our evaluation approach are implemented.Date
2010-09-01Type
ArticleIdentifier
oai:doaj.org/article:95d1f762fab14281af12f6bc6ac54d911875-6883
ijcis.2010.3.3.11
https://doaj.org/article/95d1f762fab14281af12f6bc6ac54d91