NDLI: An integrated model for learning style classification in university students using data mining techniques

Content Provider	IEEE Xplore Digital Library
Author	Paireekreng, W. Prexawanprasut, T.
Copyright Year	2015
Description	Author affiliation: Fac. of Inf. Technol., Dhurakij Pundit Univ., Bangkok, Thailand (Paireekreng, W.; Prexawanprasut, T.)
Abstract	Different people may have a different learning styles and it is important to provide the most suitable content and course materials for learning. However, determining the learning style may be difficult due to limited information about the learner and lack of a learner profile. The learner has to complete a questionnaire form based on educational theory in order to determine the learning style. Moreover, it is necessary to know the learner's study record related to other factors such as demographic factors. Therefore, an enhanced model to identify learning style is needed. This research aims to address the problem of identifying the learning style for a new student. A learning style classification model was proposed and ensemble classification techniques were implemented. The results showed that the proposed ensemble classification techniques performed better compared to other classification techniques used in the experiment.
Starting Page	1
Ending Page	5
File Size	292285
Page Count	5
File Format	PDF
e-ISBN	9781479979615
DOI	10.1109/ECTICon.2015.7206951
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-24
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Accuracy Computational modeling integrated model Education data mining Predictive models Learning Style Data models Data mining classification
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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