A Multi-agent Based Adaptive E-Learning System

2021 ◽  
pp. 693-707
Author(s):  
Birol Ciloglugil ◽  
Oylum Alatli ◽  
Mustafa Murat Inceoglu ◽  
Riza Cenk Erdur
Keyword(s):  
Learning System ◽  
Agent Based ◽  
E Learning ◽  
Multi Agent

scholarly journals Design and analysis of a multi-agent e-learning system using prometheus design tool

2021 ◽  
Vol 10 (1) ◽  
pp. 9
Author(s):  
Kennedy E. Ehimwenma ◽  
Sujatha Krishnamoorthy
Keyword(s):  
Domain Knowledge ◽  
Design Tool ◽  
Assessment System ◽  
Learning System ◽  
Modeling Languages ◽  
Prior Learning ◽  
Agent Based ◽  
Unified Modeling ◽  
E Learning ◽  
Multi Agent

Agent unified modeling languages (AUML) are agent-oriented approaches that supports the specification, design, visualization and documentation of an agent-based system. This paper presents the use of prometheus AUML approach for the modeling of a Pre-assessment System of five interactive agents. The Pre-assessment System, as previously reported, is a multi-agent-based e-learning system that is developed to support the assessment of prior learning skills in students so as to classify their skills and make recommendation for their learning. This paper discusses the detailed design approach of the system in a step-by-step manner; and domain knowledge abstraction and organization in the system. In addition, the analysis of the data collated and models of prediction for future pre-assessment results are also presented.

Multi-Agent Paradigm for Semantic Web Service in E-learning System

2013 ◽  
Vol 5 (4) ◽  
pp. 20-43 ◽  
Author(s):  
Sami Ahmed Mohammed Al-Radaei ◽  
R.B. Mishra
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Learning System ◽  
Traditional Learning ◽  
Learning Materials ◽  
Agent Based ◽  
Composition Methods ◽  
Proposed Model ◽  
E Learning ◽  
Multi Agent

E-learning has become an alternative solution for the traditional learning. There is a need to manage the learning materials in e-learning environments in order to deliver it to learners according to their requirements. Semantic Web Services (SWS) aim at developing a machine understandable and common conceptual framework which share and accumulate concepts from different web service resources to meet a particular objective in question. Different SWS composition methods have been developed for different purposes and objectives. In this paper we have developed an Agent-based SWS composition method using two sets of agents i.e. Service Requester Agent (SRA) and Service Provider Agent (SPA) to represent the user's side and the solution side respectively for the problem of a course composition in e-learning systems. The SRA corresponds to requirements of different ebook/chapter and the SPA corresponds to books containing the relevant and required chapters in courseware. The course composition is primarily based on the important and relevant prime keywords in a courseware. Learning materials and other actors are described semantically in form of ontologies. Also, we present the use of reasoning rule to infer different relations between Agents, ebook/chapter and other actors in the proposed model.

A Collaborative E-learning System Based on Multi-agent

2005 ◽  
pp. 455-463 ◽  
Author(s):  
Jun Wang ◽  
Yong-Hong Sun ◽  
Zhi-Ping Fan ◽  
Yan Liu
Keyword(s):  
Learning System ◽  
E Learning ◽  
Multi Agent

Design and Development of a Multi-Agent E-Learning System

2016 ◽  
pp. 390-447
Author(s):  
Terje Kristensen ◽  
Marius Dyngeland
Keyword(s):  
Software Development ◽  
Service Oriented Architecture ◽  
Learning System ◽  
Agent Architecture ◽  
Quality Requirements ◽  
Client Server ◽  
Dynamic Content ◽  
Service Oriented ◽  
E Learning ◽  
Multi Agent

In this paper the authors present the design and software development of an E-learning system based on a multi-agent (MAS) architecture. The multi-agent architecture is established on the client-server model. The MAS architecture is combined with the Dynamic Content Manager (DCM) model of E-learning developed at Bergen University College, Norway. The authors first present the quality requirements of the system before they describe the architectural decisions taken. They then evaluate and discuss the benefits of using a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA) to observe that a MAS architecture has a lot of the same qualities as this architecture, in addition to some new ones.

Design and Development of a Multi-Agent E-Learning System

2015 ◽  
Vol 7 (2) ◽  
pp. 19-74 ◽  
Author(s):  
Terje Kristensen ◽  
Marius Dyngeland
Keyword(s):  
Software Development ◽  
Service Oriented Architecture ◽  
Learning System ◽  
Agent Architecture ◽  
Quality Requirements ◽  
Client Server ◽  
Dynamic Content ◽  
Service Oriented ◽  
E Learning ◽  
Multi Agent

In this paper the authors present the design and software development of an E-learning system based on a multi-agent (MAS) architecture. The multi-agent architecture is established on the client-server model. The MAS architecture is combined with the Dynamic Content Manager (DCM) model of E-learning developed at Bergen University College, Norway. The authors first present the quality requirements of the system before they describe the architectural decisions taken. They then evaluate and discuss the benefits of using a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA) to observe that a MAS architecture has a lot of the same qualities as this architecture, in addition to some new ones.

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