Skip to main content

Research Repository

Advanced Search

Refining rules learning using evolutionary PD

Harun, A.; Benford, S.; O'Malley, C.; Noor, N.L.Md

Authors

A. Harun

S. Benford

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