• May 03, 2016 News! IJIET Vol. 5, No. 10 has been indexed by EI (Inspec).   [Click]
  • Jun 28, 2017 News!Vol. 7, No. 9 has been indexed by Crossref.
  • Jun 22, 2017 News!Vol. 7, No. 9 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
University of South Australia, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the filed of information and education technology.
IJIET 2014 Vol.4(4): 345-350 ISSN: 2010-3689
DOI: 10.7763/IJIET.2014.V4.427

Technology-Enhanced Learning Analytics System Design for Engineering Education

Kushal Abhyankar and Subhashini Ganapathy
Abstract—The field of technologically enhanced learning (TEL) allows for the visualization of different patterns of user behaviors. These trends represent the usages of the technology based educational content. The visualization of this information leads to the formation of a comprehensive analytics system to process the metadata. The efforts to the formation of this learning analytics system were initiated with a comprehensive ethnographic research conducted over the engineering students of Wright State University to understand the pain points in studying engineering subjects. The focus of this research is primarily over the development, testing and evaluation of the educational content over small form factors devices in order to provide an interactive form of learning support to the engineering students. The usage data will be collected from the students with the help of the questionnaire designed to understand the affinity towards the technology. The data will be collected to understand the user attitude, ease of use, behavioral and social effects on the user as well as the user affinity towards the technology. The metadata presentation forms the learning analytics system, which will serve as the performance benchmark for the educators, technology developers, education administrators and stakeholders.

Index Terms—Mobile computing, technology enhanced learning, learning analytics, model analysis.

The authors are with Wright State University, Dayton OH 45435 USA (e-mail: abhyankar.2@wright.edu, subhashini.ganapathy@wright.edu).


Cite: Kushal Abhyankar and Subhashini Ganapathy, "Technology-Enhanced Learning Analytics System Design for Engineering Education," International Journal of Information and Education Technology vol. 4, no. 4, pp. 345-350, 2014.

Copyright © 2008-2017. International Journal of Information and Education Technology. All rights reserved.
E-mail: ijiet@ejournal.net