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Zhang, Runzhou, Cheng, Yidan, Qin, Cheng, Roadknight, Christopher Mark, Hadian, Gabrielle Saputra, Thenara, Joseph and Rattadilok, Prapa (2025) Origami as a means to assess and understand learning styles. In: 13th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2025) June 06 - 07, 2025, 6-7 June 2025, London Metropolitan University, London (UK) / Online. (In Press)
In this research, we model the relationship between a range of sensed metrics and visual-aural-read/write-kinesthetic (VARK) questionnaire metrics and the resulting ability to create aesthetically pleasing origami objects, both at the time of learning and when reproduced at a later date. Results indicate that subjects with a Visual learning preference perform better in this task. We also suggest that subjects who score highly across all VARK categories (Multimodal) tackle the learning task with more mental and physical vigour, leading to better performance in the short and long term. Tackling the learning process with an elevated mental activity, captured by Electroencephalogram (EEG) measurements, appears to be the clearest indicator of success. These results support the common-sense idea that an enthusiastic approach to the problem, which makes use of visual learning support yields better results.
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