DocumentCode :
3628497
Title :
Question recommender with ML business logic
Author :
Dumitru Dan Burdescu;Marian Cristian Mihaescu;Bogdan Logofatu
Author_Institution :
University of Craiova, Faulty of Automation, Computers and Electronics, Software, Engineering Department, Bvd. Decebal, Nr. 107, 200440, Dolj, Romania
fYear :
2008
Firstpage :
639
Lastpage :
644
Abstract :
Advising the learner regarding the resources he needs to access in order to obtain best learning proficiency is one of the main issues in Learning Management Systems. This paper presents an original method of recomending questions that need to be taken into consideration for answering by learner. The Business Logic that decides what questions are displayed to student is based on Machine Learning algorithms, more exactly on Naive Bayes classifier.
Keywords :
"Data models","Classification algorithms","Adaptation model","Machine learning","Chapters","Training","Electronic learning"
Publisher :
ieee
Conference_Titel :
Information Technology Interfaces, 2008. ITI 2008. 30th International Conference on
ISSN :
1330-1012
Print_ISBN :
978-953-7138-12-7
Type :
conf
DOI :
10.1109/ITI.2008.4588485
Filename :
4588485
Link To Document :
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