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.