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Reseach Article

Learning Analytics and its Challenges in Education Sector: A Survey

Published on May 2015 by J Meenakumari, Jayashree M. Kudari
An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds
Foundation of Computer Science USA
ICCTAC2015 - Number 2
May 2015
Authors: J Meenakumari, Jayashree M. Kudari
21a66e43-8a17-478c-ad4a-7b581a65f2d6

J Meenakumari, Jayashree M. Kudari . Learning Analytics and its Challenges in Education Sector: A Survey. An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds. ICCTAC2015, 2 (May 2015), 6-10.

@article{
author = { J Meenakumari, Jayashree M. Kudari },
title = { Learning Analytics and its Challenges in Education Sector: A Survey },
journal = { An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds },
issue_date = { May 2015 },
volume = { ICCTAC2015 },
number = { 2 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 6-10 },
numpages = 5,
url = { /proceedings/icctac2015/number2/20925-2012/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds
%A J Meenakumari
%A Jayashree M. Kudari
%T Learning Analytics and its Challenges in Education Sector: A Survey
%J An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds
%@ 0975-8887
%V ICCTAC2015
%N 2
%P 6-10
%D 2015
%I International Journal of Computer Applications
Abstract

Analytics is a field of research and practice that aims to reveal new patterns of information through the collection of large sets of data held in previously distinct sources. Growing interest in data and analytics in education, teaching, and learning raises the priority for increased, high-quality research into the models, methods, technologies, and impact of analytics. The challenges of applying analytics on academic and ethical reliability to control over data. The other challenge is that the educational landscape is extremely turbulent at present, and key challenge is the appropriate collection, protection and use of large data sets. This paper brings out challenges of multi various pertaining to the domain by offering a big data model for higher education system.

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Index Terms

Computer Science
Information Sciences

Keywords

Learning Analytics Learning Management System (lms) Educational Data Mining (edm) Big Data Special Issue Society For Learning Analytics Research.