Using Analytics to Improve Learner-Centered Application Design

Abstract

Data analytics is one of the content analysis techniques which are being used in many disciplines to make informed decisions by understanding the existing data. In education, analytics is very popular term which is used to measure and analyze the learner’s data to make appropriate improvements in learning and teaching designs. In this study, an online support system is being analyzed with the help of analytics in order to recommend key parameters for learner-centered application design. One year data from April 2015 to April 2016 is being acquired and examined based on learner’s parameter. In particular design attributes have been proposed for future applications to make them learner-centered. The basic yet effective parameters such as geographic location, device, operating system, browser and system language are analyzed which provides an insight into users’ preferences. This knowledge is used to build advanced personalized learner-centered applications. // Paper ID 50