A Human Factors Study of Technology Acceptance of a Prototype Mobile Augmented Reality System for Science Education

Abstract

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Technology Acceptance of an Interactive Augmented Reality App on Resistive Circuits for Engineering Students

“…However, the willingness of students to use this technology depends on how many students believe that they can improve their academic performance by using it and not how easy they think it is to use the app. This is consistent with the findings of Arvanitis et al [82], who used an app in science education, and Wojciechowski et al [48], who used an app in the field of chemistry. As the study by Ibañez et al [35] had to remove the attitude toward using construct, their results cannot be compared.…”

The influence of academic emotion on level of attention and relaxation in augmented reality learning: are boys consistent with girls? ( La influencia de la emoción académica en el nivel de atención y relajación en el aprendizaje mediante la realidad aumentada )

“…In the results, there is the interesting phenomenon that students in the negative academic emotion group have higher attention scores than those in the positive academic emotion group. This result is different from previous studies, and the reasons may be as follows: AR learning software is easy to operate and can help students concentrate (Arvanitis et al, 2011). Moreover, AR learning software is entertaining and instructive (Arino et al, 2014), which may make students with negative academic emotion start to become more positive.…”

“…Este resultado difiere de los de estudios anteriores y las razones podrían múltiples. El programa de aprendizaje mediante RA es fácil de operar y puede ayudar a los alumnos a concentrarse (Arvanitis et al, 2011). Además, este tipo de aprendizaje es entretenido e instructivo (Arino et al, 2014), con el posible efecto de hacer que los alumnos con emociones académicas negativas se sientan más positivos.…”

Sustaining the Well-Being of Wearable Technology Users: Leveraging SEM-Based IPMA and VIKOR Analyses to Gain Deeper Insights

“…An extensive literature review of wearable technology adoption reveals that the majority of researchers have adopted the TAM framework for their analysis (e.g., [8,[29][30][31][32][33][34][35][36][37][38]). However, according to Ayeh et al [39] and tom Dieck and Jung [40], adding appropriate context-specific external variables may make the TAM framework applicable in a broader range of technological contexts, and at the same time enhance the explanatory power of the model.…”