Pre-processing of gender-based comparative usability performance data in Mobile Augmented Reality English language teaching

Abstract

This article is part of this research group's work on a larger scale project prioritization of usability data in Mobile Augmented Reality learning (MAR-learning) environment. The work specifically focuses on pre-processing analysis on the early stages of experiment involving an MAR-learning application build to improve students interview skills in English language. The article will first highlight the related works leading to this project and problems encountered while scrutinizing current works on MAR-learning usability basing on gender biases. A methodology is then proposed with 3 important phases where this paper will only highlight the pre-processing stage of the third phase before presentation and discussion on the results. This paper will end with future works related to this project in the nearest future research undertakings. © 2017 IEEE.