@proceedings{528,
title = {Adult Student Modeling for Intelligent Distance Learning Systems},
author = {Ioannis Panagiotopoulos and Aikaterini Kalou and Christos Pierrakeas and Achilles Kameas},
year = {2012},
date = {2012-01-01},
journal = {Special Issue on AIAI 2012 of the International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications (EISEEC)},
address = {Halkidiki, Greece},
abstract = {
One of the most important components in a learning support system is the learner model, as it contains useful information about an individual such as learning preferences and academic performance. The goal of the research presented in this paper is to define how a learner model can be distributed with the help of semantic web technologies, based on stereotypes as a useful mechanism for the initialization of an intelligent learning system. These stereotypes have been derived from an empirical study on a sample of adult learners at a distance learning University, while the proposed model also reflects features from several standards for a learner modeling. Finally, a web application is presented, in order to evaluate the learner model and test the automatic categorization of learners into stereotypes according to their basic characteristics.
<div style="text-align: justify;">One of the most important components in a learning support system is the <span style="line-height: 1.538em;">learner model, as it contains useful information about an individual such as learning </span><span style="line-height: 1.538em;">preferences and academic performance. The goal of the research presented in this paper is </span><span style="line-height: 1.538em;">to define how a learner model can be distributed with the help of semantic web </span><span style="line-height: 1.538em;">technologies, based on stereotypes as a useful mechanism for the initialization of an </span><span style="line-height: 1.538em;">intelligent learning system. These stereotypes have been derived from an empirical study </span><span style="line-height: 1.538em;">on a sample of adult learners at a distance learning University, while the proposed model </span><span style="line-height: 1.538em;">also reflects features from several standards for a learner modeling. Finally, a web </span><span style="line-height: 1.538em;">application is presented, in order to evaluate the learner model and test the automatic </span><span style="line-height: 1.538em;">categorization of learners into stereotypes according to their basic characteristics.</span></div>
