An E-learning System Architecture Based on Web Services and Intelligent Agents

Xu, Wei; Yan, Jun

doi:10.1109/his.2009.147

Cited by 17 publications

(8 citation statements)

References 3 publications

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“…Another MAS-based architecture proposed by Wei and Yan [25] utilized information gathering and ontology agents for content management and virtual mentor agents for Learner-system interaction.…”

Section: R Apid Development Ai (Artificial Intelligence)mentioning

confidence: 99%

“…This design includes an MASbased middleware for grid services. A Web service based architecture proposed by Wei and Yan [25] utilizes web services and intelligent agents for a flexible, personalized and light-weight system. A blackboard-based architecture by [30] aimed at provision of communication and integration support to service oriented MAS eLearning systems.…”

Section: R Apid Development Ai (Artificial Intelligence)mentioning

confidence: 99%

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An Intelligent Service-Based Layered Architecture for eLearning and eAssessment

Javaid¹,

Arif²,

Talpur³

et al. 2017

Mehran Univ. res. j. eng. technol.

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The rapid advancement in ICT (Information & Communication Technology) is causing a paradigm shift in eLearning domain. Traditional eLearning systems suffer from certain shortcomings like tight coupling of system components, lack of personalization, flexibility, and scalability and performance issues. This study aims at addressing these challenges through an MAS (Multi Agent System) based multi-layer architecture supported by web services. The foremost objective of this study is to enhance learning process efficiency by provision of flexibility features for learning and assessment processes. Proposed architecture consists of two sub-system namely eLearning and eAssesssment. This architecture comprises of five distinct layers for each sub-system, with active agents responsible for miscellaneous tasks including content handling, updating, resource optimization, load handling and provision of customized environments for learners and instructors. Our proposed architecture aims at establishment of a facilitation level to learners as well as instructors for convenient acquisition and dissemination of knowledge. Personalization features like customized environments, personalized content retrieval and recommendations, adaptive assessment and reduced response time, are believed to significantly enhance learning and tutoring experience. In essence characteristics like intelligence, personalization, interactivity, usability, laidback accessibility and security, signify aptness of proposed architecture for improving conventional learning and assessment processes. Finally we have evaluated our proposed architecture by means of analytical comparison and survey considering certain quality attributes.Key Words: E-Learning, E-Assessment, Architecture, Data Mining, Intelligent Agent. Section 2 provides related work in areas of MAS, SOA, personalized leaning and query processing. Section 3 provides general architecture with detailed description of the proposed system and underlying layers. Section 4 provides evaluations mechanism followed by conclusion in section 5. RELATED WORDMAS is a sub-discipline of DAI (Distributed Artificial Intelligence

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Section: R Apid Development Ai (Artificial Intelligence)mentioning

confidence: 99%

Section: R Apid Development Ai (Artificial Intelligence)mentioning

confidence: 99%

An Intelligent Service-Based Layered Architecture for eLearning and eAssessment

Javaid¹,

Arif²,

Talpur³

et al. 2017

Mehran Univ. res. j. eng. technol.

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show abstract

“…This is in contradiction of UNESCO's Universal Declaration on Cultural Diversity (2001) which encourages mother tongue teaching by promoting multilingualism and equal access to knowledge. A wide range of e-learning products and platforms has made content sharing, manipulation and composition difficult for users [2]. This is why there has been an increasing interest in implementing Web service and grid technologies in the e-learning domain to provide more flexible systems [2].…”

Section: Introductionmentioning

confidence: 99%

Analyzing patterns in composing teaching materials from the web

Bouz-Asal

Inaba

Ishida

2011

Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work

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“…Intelligent agent technology can be used for special learning needs of particular users and learning context can be intelligently customized according to requirement of particular uses. In the purposed system web services plus intelligent agent's technologies are interrelated with each other to get good results for e learning [20]. SOAE [9] consists of a user agent which is submitting query to the system then a query analyzer agent will receive the query and perform operations at the query.…”

Section: Service Based Oriented Intelligent Agents For E-learning Sysmentioning

confidence: 99%