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Augmented reality (AR) is believed to be the next wave of online learning. New user experiences become possible to afford AR capabilities with the advent of powerful smartphones. Mostly, studies related to the use of augmented reality in education focus on cognition with little consideration is given to emotions which is important in learning. Therefore, this research aims to identify salient connections between emotions and design elements of augmented reality-based online learning material by applying Kansei Engineering (KE) approach. In this research, mobile augmented reality application related to the human heart was prepared to be used as a case for the study. Seven specimens of the mobile augmented reality application were evaluated with 55 emotions of Kansei Words (KW). 28 students from one of the public universities performed the experiment evaluation . The gathered data were then analyzed using Factor Analysis, Principal Component Analysis and Partial Least Squares analysis. T.....

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