A Non-linear and Divergent Digital Learning Resource for Design Computation
Serdar Așut (TU Delft - Digital Technologies)
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Abstract
This paper presents a novel approach to developing Digital Learning Resources (DLR) for Design Computation (DC). Learning DC requires the students to develop cognitive skills in algorithmic thinking and practical skills in using specific software. Few learning resources integrate cognitive and practical skills, often prioritizing the skills related to tool use with a focus on software functionalities. They typically follow linear narratives in audio-visual or text-based tutorials, which do not align well with the essence of computational thinking. The DLR presented in this paper is a self-paced learning resource that integrates a web of interconnected concepts, methods, tools, and instructions on a non-linear interface, and it aligns better with the divergent qualities of computational design thinking. It is developed for an MSc-level course that introduces computational design. This paper presents its design and implementation, evaluation of its pilot use, and directions for future improvements.