1633 hits

A pedagogical agent is an on–screen virtual character that is used to serve instructional purposes in virtual learning environment (VLE). Of late, research about pedagogical agents has received increasing interest among researchers, but still there is little research on the facial appearance of animated pedagogical agent. Facial design of pedagogical agent is a key method to achieve believability among students. Pedagogical agent with more ideal facial design has greater motivational impact. Notably, a “cute” looking face is very essential as audience identifies with it the most. The term “cute” reminds one of the famous Japanese cultural term which is known as kawaii. Hence, this study aimed to develop kawaii design of pedagogical agent and look at its effect on students’ satisfaction in VLE. Successive Approximation Model (SAM) is the basis for design and development of the pedagogical agents and VLE. A set of Post-Study System Usability Questionnaire (PSSUQ) was used to .....

787 hits

Pedagogical agents are animated virtual characters that play human instructional roles in educational settings. Towards the advancement of computer technology and communication, human learning is becoming more advanced by using technologies such as pedagogical agent. Previously, the look of pedagogical agents has been designed with own imagination of the designers without assessing its impact on the learning. In addition, there are limited researches on the visual appearance of pedagogical agent. Therefore, a further study is required to fill this gap and provide appropriate visual appearance for pedagogical agent that will contribute to enhancing students’ motivation in learning. Accordingly, the present research proposes kawaii designs for the facial appearance of pedagogical agent. Eventually, students’ affective state on the kawaii style pedagogical agents and relation towards motivation in learning also will be studied. Therefore, this paper proposes a conceptual framework tha.....

776 hits

This research delves into how design education can catalyze rural revitalization and the digital renewal of non-heritage artifacts, blending traditional values with modern innovations. By establishing a comprehensive evaluation framework, we analyzed trends across 31 provinces from 2013 to 2022, focusing on rural growth and the digitization of non-heritage cultural elements. Our methods included the entropy value and TOPSIS methods, alongside a coupled coordination degree model, uncovering that economic prosperity and enhanced living standards drive rural development, with notable digital advancements in regions such as Beijing and Guangdong. The study highlights a growing synergy between rural and digital non-heritage development, reaching moderate coordination by 2022. It underscores the transformative effect of design education on rural and digital heritage sectors, recommending the establishment of an online education platform for wider knowledge dissemination. © 2023 Yanjun Yang,.....

17 hits

This study introduces a novel approach by combining knowledge distillation and transfer learning to create a model that, despite its smaller size, approaches the accuracy of its much larger counterparts. It leverages a trained model from a source domain (teacher) to enhance an untrained model in a target domain (student) with significantly fewer parameters. Through transfer learning, we utilize pre-trained deep learning model parameters as initial values. This paper also explores integrating intangible cultural heritage (ICH) information with school curricula, transforming traditional knowledge presentation into intuitive, personalized displays. Our findings highlight that ICH visualization spans nine categories, with traditional arts and crafts leading with 25 items. Interestingly, only 22.58% of students understand Native American culture, pointing towards the potential for educational enhancement. The research suggests designing curriculum with varied teaching activities to improve .....

11 hits