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eLearning content authentication using bipartite matching
conference contribution
posted on 2013-01-01, 00:00 authored by Jahangir Dewan, Morshed ChowdhuryMorshed Chowdhury, Lynn BattenLynn BattenContent authenticity and correctness is one of the important challenges in eLearning as there can be many solutions for one specific problem in the cyber space. Therefore, we feel the necessity of mapping problem to solutions using graph partition and weighted bipartite matching. This paper presents a novel architecture and methodology for a personal eLearning system called PELS that is developed by us. We also present an efficient algorithm to partition question-answer (QA) space and explore best possible solution to a particular problem. Our approach can be efficiently applied to social eLearning space where there is one-to-many and many-to-many relationship with a level of bonding. The main advantage of our approach is that we use QA ranking by adjusted edge weights provided by subject matter experts (SME) or expert database. Finally, we use statistical methods called confidence interval and hypothesis test on the data to check the reliability and dependability of the quality of results.
History
Event
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Conference (14th : 2013 : Honolulu, Hawaii)Pagination
51 - 55Publisher
IEEE Computer Society Conference Publishing Services (CPS)Location
Honolulu, HawaiiPlace of publication
Piscataway, N. J.Publisher DOI
Start date
2013-07-01End date
2013-07-03ISBN-13
9780769550053Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2013, IEEETitle of proceedings
SNPD 2013 : Proceedings of the 14th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed ComputingUsage metrics
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No categories selectedKeywords
bipartite matchinggraph partitioninggraph clusteringelearningDRM (Digital Right Management)confidence intervalhypothesis testScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Software EngineeringComputer Science, Theory & MethodsEngineering, Electrical & ElectronicComputer ScienceEngineering
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