A Digital Painting Learning Model Using Mixed-Reality Technology to Develop Practical Skills in Character Design for Animation

Abstract

This research aims to (1) synthesize the digital painting learning process by using mixed-reality technology to develop practical skills in character design for animation and (2) develop and evaluate digital painting learning models using mixed-reality technology to develop practical skills in character design for animation. This research was conducted by studying documentation and related research and designing digital painting learning models using mixed-reality technology to develop practical skills in character design for animation. Using a questionnaire, a total of 9 experts evaluated the model’s suitability. The statistics used in the research were the mean and standard deviation. The study found that a component of the digital painting learning process involves using mixed-reality technology to develop practical skills in character design for animation. It consists of the following four components: (1) input data, (2) the digital painting learning process, (3) output assessment, and (4) feedback. The expert’s evaluation of the model’s suitability found that the digital painting learning model using mixed-reality technology to develop practical skills in character design for animation was at the highest level (mean ± SD = 4.38 ± 0.21). This research is beneficial to faculty who teach character design and development for animation. The results of the study can be applied to teaching and learning.

Multimedia Human-Computer Interaction Technology in Preschool Education

“…Visuals, sounds, and tactile feedback can be incorporated to cater to different learning styles and enhance comprehension and retention of information. Educational software in multimedia HCI can be designed to adapt to each child's pace and learning style (Piankarnka et al, 2023). This personalization ensures that children receive tailored instruction, addressing their individual strengths and areas that need improvement (Topu et al, 2023).…”