NDLI: A business intelligence model for online tutoring process

Content Provider	IEEE Xplore Digital Library
Author	Valdiviezo-Diaz, P. Cordero, J. Reategui, R. Aguilar, J.
Copyright Year	2015
Description	Author affiliation: Dept. Cienc. de la Comput. y Electron., Univ. Tec. Particular de Loja, Loja, Ecuador (Valdiviezo-Diaz, P.; Cordero, J.; Reategui, R.) \|\| Univ. de Los Andes, Merida, Venezuela (Aguilar, J.)
Abstract	This work aims to implement business intelligence strategies in an educational institution based on the distance education, particularly in the online tutoring process. In this paper we propose to use the business intelligence paradigm to analyze the online tutoring process, based on the data collected on the interactions of students and teachers in a virtual learning environment, and the results recorded in the institutional academic system of evaluations. This analysis should answer the following questions: 1) Can we define a model of online tutoring that can adapt to each student profile? 2) Can we predict the success of an online tutoring process for a course and a student given? To this purpose, this paper presents three aspects: characterize and determine the key elements in an online tutoring process, build a descriptive model of the online tutoring process, and build a predictive model of the success of the online tutoring process. The models to be defined will be based on data mining techniques, and will be obtained from the current data stored in transactional databases of the University. This data is preprocessed with ETL techniques to build a multidimensional model, and the key elements are obtained through operations OLAP.
Starting Page	1
Ending Page	9
File Size	964596
Page Count	9
File Format	PDF
ISBN	9781479984541
DOI	10.1109/FIE.2015.7344385
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bismuth Organizations Data mining Artificial intelligence Education Data models Online Tutoring Business Intelligence Systems Data Warehouses Learning Analytics
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
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