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, learning analytics is a very popular term that is used to measure and analyze the learner’s data to make appropriate improvements in learning and teaching designs. In this study, data generated from an online student support system is being analyzed with the help of Google Analytics in order to recommend key parameters for learner-centered application design. One year of data is being acquired and examined based on the learner’s parameters. 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 insight into users’ preferences. This knowledge is used to build advanced personalized learner-centered applications.
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