Title :
Enhancing the Assessment Environment within a Learning Management Systems
Author :
Burdescu, Dumitru Dan ; Mihaescu, Marian Cristian
Author_Institution :
Univ. of Craiova, Craiova
Abstract :
There are many open source or proprietary assessment tools on the market. These tools are embedded in learning management systems (LMS) and have as goal evaluation of learners. A problem that currently appears is that assessment tools are not always fair or accurate in classifying students according with accumulated knowledge. We propose a software module called quality module (QM) that may run along with an assessment tool within an LMS. The QM performs offline analysis and obtains knowledge regarding the classification capability of the assessment tool. The QM also obtains knowledge for course managers regarding the course difficulty such that course materials and quizzes may be altered in order to obtain a more accurate assessment tool and thus better classification among learners.
Keywords :
computer aided instruction; educational administrative data processing; educational courses; learning (artificial intelligence); classification capability; course manager; course material; e-learning management system; offline analysis; proprietary assessment tool; quality module; Classification algorithms; Clustering algorithms; Electronic learning; Environmental management; Least squares approximation; Machine learning; Machine learning algorithms; Open source software; Performance analysis; Telecommunication traffic; e-Learning; machine learning;
Conference_Titel :
EUROCON, 2007. The International Conference on "Computer as a Tool"
Conference_Location :
Warsaw
Print_ISBN :
978-1-4244-0813-9
Electronic_ISBN :
978-1-4244-0813-9
DOI :
10.1109/EURCON.2007.4400345
