A. Harun
Refining rules learning using evolutionary PD
Harun, A.; Benford, S.; O'Malley, C.; Noor, N.L.Md
Authors
S. Benford
Professor Claire Omalley claire.omalley@durham.ac.uk
Pro-Vice-Chancellor (Global)
N.L.Md Noor
Contributors
Masaaki Kurosu
Editor
Abstract
Using glyphs to associate digital media with physical materials has great potential to enhance learning. A key challenge, however, lies in enabling children to author their own glyphs that integrate well with their drawings. One possible solution lies in the d-touch system which uses a topological approach to structuring glyphs. Through a series of Participatory Design studies, we have explored how children can be supported in creating their own d-touch glyphs. Main highlights from our findings indicate that it is difficult for children to create glyphs following only written rules. A structured diagrammatic approach is then introduced in which colour-coded hierarchy diagrams support a mapping between their drawings and the underlying rules. We found this has significantly improved their drawing attempts. The paper then concludes with a potential to integrate the approach into more sophisticated learning experience
Citation
Harun, A., Benford, S., O'Malley, C., & Noor, N. (2013, December). Refining rules learning using evolutionary PD. Presented at 15th International Conference on Human-Computer Interaction, HCI International 2013, Las Vegas
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 15th International Conference on Human-Computer Interaction, HCI International 2013 |
Publication Date | 2013 |
Deposit Date | Aug 15, 2018 |
Print ISSN | 0302-9743 |
Volume | 8005 |
Pages | 376-385 |
Series Title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Series Number | PART 2 |
Series ISSN | 0302-9743 |
Book Title | 15th International Conference, HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013, Proceedings, Part II |
DOI | https://doi.org/10.1007/978-3-642-39262-7_43 |
Public URL | https://durham-repository.worktribe.com/output/1145998 |
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