Pakistan Science Abstracts
Article details & metrics
No Detail Found!!
An Intelligent Service-based Layered Architecture for elearning and eAssessment.
Author(s):
1. Qaisar Javaid: Department of Computer Science & Software Engineering, International Islamic University, Islamabad, Pakistan
2. Muhammad Arif: Department of Computer Science, University of Gujrat, Pakistan
3. Shah Nawaz Talpur: Department of Computer Systems Engineering, Mehran University of Engineering & Technology, Jamshoro. Pakistan
4. Umaira Hmed Korai: Department of Telecommunication Engineering, Mehran University of Engineering & Technology, Jamshoro. Pakistan
5. Munamali Shah: Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan
Abstract:
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.
Page(s): 97-116
DOI: DOI not available
Published: Journal: Mehran University Research Journal of Engineering and Technology, Volume: 36, Issue: 1, Year: 2017
Keywords:
Keywords are not available for this article.
References:
[1] Other , A.,,2016,,Market Trends & Forecast 2014-2016 Report”, Published Docebo,,-
[2] Market , S.,,2014,,International e-Learning Market Research,,-
[3] Riad , A.M.,El-Minir , H.K.,El-Ghareeb , H.A.,,2009,Mapping Different Software Architecture Paradigms to Different Integration Techniques_Highlighting Driving and Restraining Forces for Each Paradigm”,Journal of Convergencce Information Technology,4,108-131
[4] Pouyan , A.A.,Dehghan , H.,Gholampour,,2010,An Agent Based Multilayered Architecture for E-learning System”,ICELET,,22-26
[5] Vossen , G.,Westerkamp , P.,,2006,Towards the Next Generation of E-Learning Standards: SCORM for Service-Oriented Environments”,IEEE 6th International Conference on Advanced Learning Technology,,1031-1035
[6] Dufresne , A.,Gilbert , P.,,2000,ExploraGraph: A Flexible and Adaptive Interface to Support Distance Learning”,EdMEdia,,-
[7] Shaukat , N.C.,Khalid , S.,,2013,A Survey of E-Learning Techniques and the Role of Agent Based Assistance”,5th International Conference on Computer Intellegent Model Simulation,,263-268
[8] Berland , M.,Baker , N.C.,Blikstein , P.,,2014,Educational Data Mining,Technological Knowledge Learning,19,205-220
[9] Fornara , N.,Viganò , F.,Colombetti , M.,,2006,Agent Communication and Artificial Institutions”, Autonuation-Agent, Multi-Agent System,,14,121-142
[10] Poslad , S.,November,,2007,Specifying Protocols for Multi-Agent Systems Interaction”,ACM Transaction on AutonAdaptation System,2,15-
[11] Chopra , A.K.,Artikis , A.,Bentaha , J.,Colombetti , M.,Dignum , F.,Fornara , N.,Jones , A.J.I.,Singh , M.P.,Yolum , P.,,2013,,ACM Transactions on Intellgent System Technolgical,4,1-23
[12] Lika , B.,Kolomvatsos , K.,Hadjiefthymiades , S.,,2014,Facing the Cold Start Problem in Recommender Systems”,Expert System Applied,41,2065-2073
[13] January,Chughtai , W.M.,Selama , A.L.I.B.,Ghani , I.,,2013,Short Systematic Review on E-Learning Recommender Systems”,Journal of Theoratical and Applied Information Technology,2,115-7219
[14] Bobadilla , J.,Ortega , F.,Hernando , A,Gutiérrez , A.,Knowledge-BasedSystem,,2013,,,46,109-132
[15] Kurilovas , E.,Zilinskiene , I.,Dagiene,,2014,Recommending Suitable Learning Scenarios According to Learners' Preferences: An Improved Swarm Based Approach”,Computational Human Behaviour,30,550-557
[16] Marciniak , J.,,2014,Building Intelligent Tutoring Systems Immersed in Repositories of E-Learning Content”,Procedia Computer Science,35,541-550
[17] Santos , O.C.,Boticario , J.G.,,2008,“Intelligent Support for Inclusive eLearning”,IEEE ACM International Conference on Web Intellegent Agent Technology,,361-364
[18] Neves , A.R.D.M.,Carvalho , A.M.G.,Ralha , C.G.,,2014,“Agent-Based Architecture for Context-Aware and Personalized Event Recommendation”,Expert System Applied,41,563-573
[19] DeMaio , C.,Fenza , G.,Gaeta , M.,Loia , V.,Orciuoli , F.,Senatore , S.,,2012,RSS-Based e-Learning Recommendations Exploiting Fuzzy FCA for Knowledge Modeling”,,12,113-124
[20] Santos , O.C.,Boticario , J.G.,,2015,“Practical Guidelines for Designing and Evaluating Educationally Oriented Recommendations”,Computer Education,81,354-374
[21] Bodea , C.,Dascalu , M.,,2013,Advanced Personalized Feedback in e-Assessment Systems with Recommender Engine”,World Summit on Knowledge Society,,179-184
[22] Crespo , R.G.,Martínez , O.S.,Lovelle , J.M.C.,GarcíaBustelo , B.C.P.,Gayo , J.E.L.,,2011,“Recommendation System Based on user Interaction Data Applied to Intelligent Electronic Books”,Computer Human Behaviou,27,1445-1449
[23] Ciobanu , I.,Magdalena,,2011,Distributed Queries in the E-Learning Environment”,,28,241-245
[24] Wadjinny , F.,Chiadmi , D.,,2008,Query Optimization in a Mediator for Digital Libraries”,[46] [47] [48] [49] [50] [51] [52] [53] [54] [55],,1-6
[25] Wadjinny , F.,Gounbark , L.,Benhlima , L.,Chiadmi , D.,Moujane , A.,,2009,Query Processing in the WASSIT Mediation Framework”,,,595-602
[26] Asghari , K.,Mamaghani , A.S.,Meybodi , M.R.,Azerbayjan,,2008,An Evolutionary Algorithm for Query Optimization in Database”, E-Learning and,,,249-254
[27] Arsova , E.,Arsov , S.,,2010,A Learning Tool Visualizing the Algebraic Laws for Optimizing Query Execution”,International Conference on E-Learning and Knowledge Society,,94-99
[28] Xu , J.,Xiong , J.,Y.,,2009,“A Query Optimization Strategy Based on Domain Ontology”,International Joint Conference on Artificial Intellegent,,510-513
[29] Fung , C.,,2003,Efficient Query Execution Techniques in a 4DIS Video Database System for e-Learning”,Multimedia Tools and Applications,,25-49
[30] Chen , C.-M.,Lee , H.-M.,Chen,ComputetEducation,,2005,“Personalized e-Learning System Using Item Response Theory”,,44,237-255
[31] Liu , Y.,Zhou , Z.,,2009,“A Theme-Based Blended ELearning System”,International Conference on Web Information System Mining,,306-309
[32] Callaghan , M.J.,Harkin , J.,McColgan , E.,McGinnity , T.M.,Maguire , L.P.,,2007,Client-Server Architecture for Collaborative Remote Experimentation”,Journal of Netwton Computuer Applied,30,1295-1308
[33] Issack , S.M.,Hosany , M.,Gianeshwar,“A M-E (Mobile-Elearning,,2006,Adaptive Architecture to Support Flexible Learning”,Malysian Online Journal of Instructional Technology,3,19-28
[34] Hsieh,Wang,,2010,“A Mining-Based Approach on Discovering Courses Pattern for Constructing Suitable Learning Path”,Expert System Applied,37,4156-4167
[35] January,,2017,,,36,116-7219
Citations
Citations are not available for this document.
0

Citations

0

Downloads

10

Views