Marija Zelić

Analysis of an agent-based m-learning system

M-learning, as the ldquoportable and personalrdquo fashion of e-learning, is enhancing the efficiency and effectiveness of learning in the context of handheld terminals. Mobile intelligent tutoring systems are a particular kind of m-learning systems which base their work on simulation of a human teacher in the learning and teaching process. The systems should be able to provide intelligent support to the learners as well as adapt to different networks and mobile devices. Consequently this implies the use of an agent-based solution as architectural basis. The immediate problem is the lack of agent-based software development methodologies as well as common scenarios and templates for building multi-agent systems. This paper presents an analysis of an agent-based m-learning system. The purpose of the paper is to provide a roadmap for designers of m-learning systems based on agent technology.

TEx-Sys model in the Semantic Web and Web 2.0 environments

The paper presents an approach in solving problems pertinent to intelligent tutoring in the Semantic Web/Web 2.0 environments within the Tutor-Expert System (TEx-Sys) model, an evolving series of ITSs that our group has been developing for the last 15 years, following all web technology generations being used in this period. We describe the way in which contemplating the system as a multi-agent system functioning over the common information space enables solving the problems, additionally extending intelligent tutoring through the mobile, collaborative and social dimensions in the Semantic Web and Web 2.0 environments.

Leveraging the semantic web for intelligent and adaptive education

Knowledge is considered a foundation of all aspects of society and economy in general, and the need for fast, relevant and just-in-time learning is more important than ever. However, current educational systems face difficult challenges when it comes to interoperability, reusability, adaptivity, as well as knowledge sharing and management. This paper presents a novel approach to the development of educational systems based on the integration of Semantic Web technologies and the agent technology through an open e-learning architecture named SWEA. SWEA is to provide a distributed, dynamic and adaptive learning environment.

Intelligent Tutoring in the Semantic Web and Web 2.0 Environments

The paper presents an approach to solving problems pertinent to intelligent tutoring in the Semantic Web/Web 2.0 environments within the TEx-Sys (Tutor Expert System) model, an evolving series of ITSs our group has been developing for the last 15 years, following all Web technology generations being used in this period. We describe the way in which assigning intelligent tutoring tasks to personal agents enables solving the problems, additionally extending intelligent tutoring through the mobile, collaborative and social dimensions in the Semantic Web and Web 2.0 environments.