Nowadays, it is an era of knowledge explosion. All countries in the world have already planned education in the direction of integrating information technology into teaching. Therefore, the application of information technology in education has become a global teaching trend. The purpose of this study is to integrate the virtual reality (VR) of information technology into the teaching of system of linear equations in three unknowns in high school mathematics and to explore the learning motivation and effectiveness of students after digital teaching. In this study, a quasi-experimental research design and questionnaire survey method was used to design a set of high school mathematics VR tutorial material. The system of linear equations in three unknowns was used as the learning content, and only the experimental group students were used to adopt the VR and the traditional teacher's teaching method. Before and after the experiment, the subjects were filled out with the ARCS Model and the Bloom's taxonomy which analyzed and discussed in a quantitative way, and conducted simple interviews with the subjects and the teachers to collect and analyze the data in a qualitative manner. It is found from the experimental results that the VR has the effect of improving students' learning motivation and learning effectiveness in the digital teaching of mathematics.
Abstract:The visual representations of intelligent agents draw increasing attention recently. Additionally, the first impression of humans toward agents is the visual representations. How these man-made creatures' looks determine users' will to interact with. This research focuses on the appearances of embodied agents to investigate the affective interactions between users and agents. This study conducted one experiment to study the affective influences of embodied conversational agents (ECAs) on users in the learning tasks. A one-factor-at-three-levels counterbalanced by within-subjects design is employed in this study. This study asks whether there are significant experiential differences between ECAs when they are represented by different character classifications, such as character preference, user engagement and user-agent relationships. The main contributions of this study are summarised as follows: (1) character classifications can be related to human affective factors; and (2) there may be significant relations among character preference, engagement and user-agent relationships.
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