Research on knowledge service-oriented e-Learning system

2010 ◽  
Author(s):  
Shen Zihao ◽  
Wang Hui
Keyword(s):  
Learning System ◽  
Knowledge Service ◽  
Service Oriented ◽  
E Learning

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.

MULTI‐LAYERED KNOWLEDGE‐BASED ARCHITECTURE OF THE ADAPTABLE DISTANCE LEARNING SYSTEM

2009 ◽  
Vol 15 (2) ◽  
pp. 229-244 ◽  
Author(s):  
Dalė Dzemydienė ◽  
Lina Tankelevičienė
Keyword(s):  
Distance Learning ◽  
Intelligent Agents ◽  
Research Work ◽  
Learning System ◽  
Conceptual Approach ◽  
Knowledge Based ◽  
Distance Learning System ◽  
Learning System Architecture ◽  
Service Oriented ◽  
E Learning

The quality of the distance learning courses is largely influenced by competently prepared educational resources and an effective study support system. One of the possible ways to improve distance learning infrastructure and increase its effectiveness is to extend the architecture of present e‐learning systems by the components for adaptable and sustainable learning. This research work is devoted to developing the service‐oriented distance learning environment adaptable to the user's needs. The proposed adaptable communication environment of distance learning is constructed by integration of new components of communication scenarios generation, adaptable for student's goals, multilayered domain ontology of learning subject and forming intelligent agents’ framework possible. The paper presents the knowledge‐based component architecture of the distance learning system, which enables a better adaptation of learning resources to students. The paper analyses the possibilities of integrating ontology into the e‐learning system. The issues of decomposing ontology into different levels of understanding are discussed in order to adapt to learner's tasks and goals. A conceptual approach is proposed for extending the existing distance learning system architecture by intelligent and deeper knowledge layers. Santrauka Nuotolinių studijų kokybė daugiausia priklauso nuo kompetentingai parengtų mokomųjų priemonių ir veiksmingai veikiančios studijų paramos sistemos. Ieškant priemonių, kaip pagerinti nuotolinių studijų sistemos infrastruktūrą ir padidinti jos darbo efektyvumą, nagrinėjamos galimybės praplėsti tradicinės nuotolinio mokymo sistemos architektūrą komponentėmis, kurios leistų išplėtoti adaptuotą ir darnų mokymosi procesą. Šio tyrimo uždaviniai skirti paslaugoms, skirtoms išvystyti nuotolinio mokymo aplinką. Siekiant sukurti tinkamą kompiuterizuotą bendradarbiavimo aplinką, lanksčiai prisitaikoma prie kintančių vartotojo poreikių studijų procese. Architektūra projektuojama integruojant naujas komponentes bendravimo scenarijams generuoti, daugelio lygių dalykinės srities ontologijai naudoti ir sudarant sąlygas automatizuotam intelektinių agentų bendravimui. Straipsnyje nagrinėjamos galimybės integruoti dalykinės srities ontologiją į tradicinės nuotolinio mokymo sistemos aplinką. Ontologijos detalizavimo pagal studento supratimo lygmenis klausimai nagrinėjami siekiant pateikti koncepcinį tokios nuotolinės adaptuotos sistemos darbo modelį.

Service-Oriented E-Learning System

2007 ◽  
Author(s):  
Moon Ting Su ◽  
Chee Shyang Wong ◽  
Chuak Fen Soo ◽  
Choon Tsun Ooi ◽  
Shun Ling Sow
Keyword(s):  
Learning System ◽  
Service Oriented ◽  
E Learning

scholarly journals A software engineering model for the development of adaptation rules and its application in a hinting adaptive e-learning system

2015 ◽  
Vol 12 (1) ◽  
pp. 203-231 ◽  
Author(s):  
Pedro Muñoz-Merino ◽  
Carlos Kloos ◽  
Mario Muñoz-Organero ◽  
Abelardo Pardo
Keyword(s):  
Information Systems ◽  
Software Engineering ◽  
Collaborative Design ◽  
Learning Analytics ◽  
Learning System ◽  
Ar Model ◽  
Engineering Model ◽  
Service Oriented ◽  
E Learning ◽  
Adaptation Rules

The number of information systems using adaptation rules is increasing quickly. These systems are usually focused on implement nice and complex functionality for adaptation of contents, links or presentation, so software engineering methodologies for the description of rules are required. In addition, the distributed service oriented Internet philosophy presents the challenge of combining different rules from independent Internet sources. Moreover, easy authoring, rule reuse and collaborative design should be enabled. This paper presents the AR (Adaptation Rules) model, a new software engineering model for the description of rules for adaptation. These rules can be composed as a set of smaller atomic, reusable, parametric, interchangeable and interoperable rules, with clear restrictions in their combinations. Our model enables the distribution of rules as well as rule reuse and collaboration among rule creators. We illustrate our approach with the application of this model to a hinting adaptive e-learning system that generates exercises with hints, which can be adapted based on defined rules. Advantages of the AR model are confirmed with an evaluation that has been done with teachers and learning analytics experts for adaptive e-learning.

E-learning experience in schools and colleges with 1C:Education platform

2020 ◽  
pp. 17-24
Author(s):  
T. A. Chernetskaya ◽  
N. A. Lebedeva
Keyword(s):  
Distance Learning ◽  
General Education ◽  
Learning Experience ◽  
Educational Process ◽  
Learning System ◽  
Full Time ◽  
Distance Learning System ◽  
Teachers And Students ◽  
E Learning ◽  
Mass Organization

The article presents the experience of mass organization of distance learning in organizations of secondary general and vocational education in March—May 2020 in connection with the difficult epidemiological situation in Russia. The possibilities of the 1C:Education system for organizing the educational process in a distance format, the peculiarities of organizing distance interaction in schools and colleges are considered, the results of using the system are summarized, examples of the successful use of the system in specific educational organizations are given. Based on the questionnaire survey of users, a number of capabilities of the 1C:Education system have been identified, which are essential for the full-fledged transfer of the educational process from full-time to distance learning. The nature and frequency of the use of electronic educational resources in various general education subjects in schools and colleges are analyzed, the importance of the presence in the distance learning system not only of a digital library of ready-made educational materials, but also of tools for creating author’s content is assessed. On the basis of an impersonal analysis of user actions in the system, a number of problems were identified that teachers and students faced in the process of an emergency transition to distance learning.

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