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Investigating Attributes for Performing Quality Analytics in Web Learning Environment

by Rohini Arora, Indu Chhabra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 139 - Number 3
Year of Publication: 2016
Authors: Rohini Arora, Indu Chhabra
10.5120/ijca2016909129

Rohini Arora, Indu Chhabra . Investigating Attributes for Performing Quality Analytics in Web Learning Environment. International Journal of Computer Applications. 139, 3 ( April 2016), 44-47. DOI=10.5120/ijca2016909129

@article{ 10.5120/ijca2016909129,
author = { Rohini Arora, Indu Chhabra },
title = { Investigating Attributes for Performing Quality Analytics in Web Learning Environment },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 139 },
number = { 3 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 44-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume139/number3/24474-2016909129/ },
doi = { 10.5120/ijca2016909129 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:39:59.856237+05:30
%A Rohini Arora
%A Indu Chhabra
%T Investigating Attributes for Performing Quality Analytics in Web Learning Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 139
%N 3
%P 44-47
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Quality is directly connected with satisfaction of the user and one will satisfy providing the training surroundings which provides full technical, infrastructure support and interactive user interface. Quality Analytics is that the discovery and also the systematic machine analysis of knowledge statistics to search out meaningful patterns particularly valuable in areas wealthy with recorded information. Quality Analytics of web application surroundings evaluates the appliance supported varied relevant quality parameters like Business Qualities, Generic Qualities, System Qualities and Learner Response Qualities. These parameters should be targeted upon to style analytical pattern to watch the user behavior. If any of the web-based application fails to deliver these then it clearly reflects the compromise within the quality of the merchandise. ISO/IEC 19796-1 international customary focuses on quality management and assurance in e-Learning and it's also necessary to scrutinize and assess the results generated by various quality factors in dynamic net based environment. This paper proposes analytics based mostly technique to generate and monitor values of some vital quality factors. Effective assessment of those factors is useful in standardization the overall performance of dynamic net based surroundings and the analytics make sure the user behavior towards the web application.

References
  1. Rohini, Indu Chhabra, 2014, “Quality Analytics for Evaluation of Dynamic Web Based Learning Environment”
  2. Rohini Arora, Indu Chhabra, 2013, “Extracting Components and Factors for Quality Evaluation of e-Learning Applications”
  3. Yao-Ting Sung, Kuo-En Chang, Wen-Cheng Yu, 2011, “Evaluating the reliability and impact of a quality assurance system for E-learning courseware”, Computers & Education, 57, pp: 1615–1627
  4. Mona Alkhattabi, Daniel Neagu, Andrea Cullen, 2011, “Assessing information quality of e-learning systems: a web mining approach”, Computers in Human Behavior, 27, pp: 862–873
  5. Wu, J.H., Tennyson, R.D. and Hsai, 2010, “A study of student satisfaction in blended e-learning system environment”, Computer and Education, vol. 55, issue 1, pp.:155-164.
  6. Garcia E., Cabot A.G., Karhu, 2012, “Analysis of standards and specification of quality and accessibility in e-learning”, ATICA, pp: 78-81.
  7. Nanduri, Babu, Jain, Sharma V.,Garg V., Rajshekhar, Rangi V., 2012, “ Quality Analytics Framework for E-Learning Application Environment”, IEEE Fourth International Conference on Technology for Education, pp: 204-207
  8. Wu H. Y., Lin H.Y., 2012, “A hybrid approach to develop an analytical model for enhancing the service quality of e-learning”, Computers and Education, vol. 58, pp: 1318-1338
  9. Suag, Y.T., Chang, K.E.,& Yu, 2011, “Evaluating the reliability and impact of quality assurance system for e-learning courseware”, Computer & Education, vol. 57, issue 2, pp. 1615-1627.
  10. Selim, H.M, 2007, “Critical success factors for e-learning acceptance: Confirmatory factor models”, Computer and Education, Vol. 49, issue 2, pp: 396-413.
  11. D. A. Menase, “QoS Issues in Web Services”, IEEE Internet Computing, vol. 6, issue 6, December 2002, pp: 72-75.
  12. Pei- Chen Sun and Ray J. Tsai and Glenn Finger and Yueh-Yang Chen and Dowming Yeh, 2008, “What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction”, Computers and Education, vol. 50, issue 4, pp: 1183-1202.
  13. Kaisler S.H., Armor, 2014, “Advanced Analytics -- Issues and Challenges in a Global Environment”, proceedings of 47th International Conference of HIISS, pp: 729-738
Index Terms

Computer Science
Information Sciences

Keywords

Quality Analytics Quality Components Web Environment Information Process Model.

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