Adaptive user interface for e-learning applications based on learning styles using Web Logs analysis: A hybrid cloud architecture

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Emerging Cloud Computing technologies are changing the way of deploying and accessing web applications. E-learning web application is not excluded from the effect of Cloud. Different e-learning deployment models have been proposed and implemented by researchers. In order to combine both emerging trends, one should understand the requirement of educational institutes for online courses and infrastructure. Institutes should not only focus on providing the various online courses to learners but also emphasize on getting the learner's requirements from the e-learning applications as per their learning styles. With the help of cloud deployment model, institutes can increase the participation of learners for taking online courses. In this paper, the conceptual architecture is proposed which focuses on adaptive e-learning application to provide adaptive interface based on learner's learning styles and deploys the application on hybrid cloud to achieve various non-functional requirements. The paper also discusses about two new e-learning services on cloud such as Learning Styles as a Service and Adaptive Interface as a Service.

Original languageEnglish
Title of host publicationTENCON 2015 - 2015 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2016-January
ISBN (Electronic)9781479986415
DOIs
Publication statusPublished - 05-01-2016
Event35th IEEE Region 10 Conference, TENCON 2015 - Macau, Macao
Duration: 01-11-201504-11-2015

Conference

Conference35th IEEE Region 10 Conference, TENCON 2015
CountryMacao
CityMacau
Period01-11-1504-11-15

Fingerprint

User interfaces
E-learning
Cloud computing

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Kolekar, S., Pai, R. M., & Manohara Pai, M. M. (2016). Adaptive user interface for e-learning applications based on learning styles using Web Logs analysis: A hybrid cloud architecture. In TENCON 2015 - 2015 IEEE Region 10 Conference (Vol. 2016-January). [7373005] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2015.7373005
Kolekar, Sucheta ; Pai, Radhika M. ; Manohara Pai, M. M. / Adaptive user interface for e-learning applications based on learning styles using Web Logs analysis : A hybrid cloud architecture. TENCON 2015 - 2015 IEEE Region 10 Conference. Vol. 2016-January Institute of Electrical and Electronics Engineers Inc., 2016.
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Kolekar, S, Pai, RM & Manohara Pai, MM 2016, Adaptive user interface for e-learning applications based on learning styles using Web Logs analysis: A hybrid cloud architecture. in TENCON 2015 - 2015 IEEE Region 10 Conference. vol. 2016-January, 7373005, Institute of Electrical and Electronics Engineers Inc., 35th IEEE Region 10 Conference, TENCON 2015, Macau, Macao, 01-11-15. https://doi.org/10.1109/TENCON.2015.7373005

Adaptive user interface for e-learning applications based on learning styles using Web Logs analysis : A hybrid cloud architecture. / Kolekar, Sucheta; Pai, Radhika M.; Manohara Pai, M. M.

TENCON 2015 - 2015 IEEE Region 10 Conference. Vol. 2016-January Institute of Electrical and Electronics Engineers Inc., 2016. 7373005.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kolekar S, Pai RM, Manohara Pai MM. Adaptive user interface for e-learning applications based on learning styles using Web Logs analysis: A hybrid cloud architecture. In TENCON 2015 - 2015 IEEE Region 10 Conference. Vol. 2016-January. Institute of Electrical and Electronics Engineers Inc. 2016. 7373005 https://doi.org/10.1109/TENCON.2015.7373005