What is it about?
This study presents a way to use AI image synthesis technology for online art education guided by a constructivist design approach. We examined image synthesis through personalization that can improve user experience and establish an appropriate environment for online museum education based on constructivism.
Featured Image
Photo by Birmingham Museums Trust on Unsplash
Why is it important?
Museums have been heavily impacted by COVID-19. During this challenging period, many museums have been focused on building or enhancing online museums. For online museum education, 75% of museums choose to provide their educational resources, that used to be available offline, on their website. However, there seem to be important limitations in the available online art education materials. Since museum art education is often based on constructivism, like STEAM education, it is very important to create a learning environment that encourages active participation of visitors. Mere digitization of offline education materials is not enough. Our findings show that in the context of online art museum personalization through the process of using self-uploaded daily life photos to AI image synthesis improves user experience, motivates online museum visitors and gives them chances to construct their own meaning. It appears that AI image synthesis technology designed in an appropriate way could be an effective and efficient method for online museum education.
Perspectives
It was a great pleasure to write this article. I hope that this article will help people to make online museum education more interesting and easier.
Sewang Lee
Sungkyunkwan University
Read the Original
This page is a summary of: Will AI Image Synthesis Technology Help Constructivist Education at The Online Art Museum?, April 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3491101.3519788.
You can read the full text:
Contributors
The following have contributed to this page
