Abstract:

Based on previous classical learning models created for animation and digital artists, this work presents a framework that stimulates creativity by divergent thinking without compromising technology and specialization.
The classical learning model focuses on specialization by utilizing dedicated technologies and devices. Although this approach has proven to be successful in the past because it is highly skill oriented, it promotes directive teaching practice through mainly audio-visual content. Even though the technology is specialized, it is also limited and because of the empirical nature of the process the artists develop linear, sometimes even convergent thinking.
Open hardware technologies provide first-hand fabrication experience in a workshop environment embracing interdisciplinary collaboration and information sharing. The aesthetic experience is perceived through vision, sound, smell and touch while the interactive experience is created by sensors, micro-controllers, kinetic sculptures, puppets and installations connected to virtual 3D worlds. This kind of learning environment in conjunction with the emotional interest enhances the capacity to achieve original content and ideas that have value, while the divergent thinking helps to find solutions in various areas and industries.

Keywords:

Animation, digital arts, interactive, open hardware, open source.