DocumentCode :
633732
Title :
e-Learning Content Authentication Using Bipartite Matching
Author :
Dewan, Jahangir ; Chowdhury, Mashrur ; Batten, Lynn
Author_Institution :
Sch. of Inf. Technol., Deakin Univ., Melbourne, VIC, Australia
fYear :
2013
fDate :
1-3 July 2013
Firstpage :
51
Lastpage :
55
Abstract :
Content 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.
Keywords :
computer aided instruction; graph theory; message authentication; statistical analysis; PELS; QA ranking; confidence interval; content correctness; eLearning content authentication; expert database; graph partition; partition question-answer space; personal eLearning system; social eLearning space; statistical method; subject matter expert; weighted bipartite matching; Authentication; Bipartite graph; Educational institutions; Electronic learning; Reliability; Social network services; Bipartite Matching; Confidence Interval; DRM (Digital Right Management); Graph Clustering; Graph partitioning; Hypothesis Test; eLearning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2013 14th ACIS International Conference on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/SNPD.2013.46
Filename :
6598444
Link To Document :
بازگشت