research-article

Design eye: an interactive learning environment based on the solo taxonomy

Authors:

Safurah Abdul Jalil,

Beryl Plimmer,

Ian Warren,

Andrew Luxton-ReillyAuthors Info & Claims

ITiCSE '13: Proceedings of the 18th ACM conference on Innovation and technology in computer science education

Pages 22 - 27

https://doi.org/10.1145/2462476.2462509

Published: 01 July 2013 Publication History

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Abstract

We describe the design of a web-based interactive learning environment that guides students' learning of visual aesthetics. With aesthetics, the whole is greater than the sum of its parts. However, initially we take an element-by-element approach that aligns well to the SOLO Taxonomy and software components. Using the colour element as an exemplar, we trialled our online learning environment with 36 undergraduate students undertaking a Human-Computer Interaction course. The results suggest that students enjoy and engage in the process, indicating the potential of our structured approach to learning visual aesthetics within Human Computer Interaction education.

References

[1]

Abdul Jalil, S., Plimmer, B., and Warren, I. 2012. Deconstructing graphical user interface for learning visual aesthetics. In Proceedings of the 7th International Conference on Computer Science & Education (Melbourne, Australia, July 14-17, 2012). ICCSE 2012. IEEE, New York, NY, 1549--1554. DOI= 10.1109/ICCSE.2012.6295358.

Crossref

Google Scholar

[2]

Biggs, J. B. and Collis, K. F. 1982. Evaluating the quality of learning: The SOLO taxonomy (Structure of the Observed Learning Outcome). Academic Press, New York.

Google Scholar

[3]

Biggs, J. B. SOLO Taxonomy. Retrieved from http://www.johnbiggs.com.au/solo_graph.html.

Google Scholar

[4]

Farrell, V., Farrell, G., Mouzakis, K., Pilgrim, C., and Byrt. P. 2006. PICTIOL: a case study in participatory design. In Proceedings of the 18th Australia conference on Computer-Human Interaction: Design: Activities, Artefacts and Environments (Sydney, Australia, November 20--24, 2006). OZCHI '06. ACM, New York, NY, 191--198. DOI=10.1145/1228175.1228209

Digital Library

Google Scholar

[5]

Hundhausen, C., Trent, S., Balkar, A., and Nuur, M. 2008. The design and experimental evaluation of a tool to support the construction and wizard-of-oz testing of low fidelity prototypes. In Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (Herrsching am Ammersee, Germany, September 15-19). VL/HCC'08. IEEE, New York, NY, 86--90. DOI=10.1109/VLHCC.2008.4639064.

Digital Library

Google Scholar

[6]

Koutsabasis, P. and Vosinakis, S. 2012. Rethinking HCI Education for Design: Problem-Based Learning and Virtual Worlds at an HCI Design Studio. International Journal of Human-Computer Interaction. 28, 8 (June 2012), 485--499. DOI= 10.1080/10447318.2012.687664.

Crossref

Google Scholar

[7]

Lee, S. and Koubek, R. J. 2010. Understanding user preferences based on usability and aesthetics before and after actual use. Interacting with Computers. 22, 6 (November 2010), 530--543. DOI= http://dx.doi.org/10.1016/j.intcom.2010.05.002.

Digital Library

Google Scholar

[8]

Lindgaard, G., Dudek, C., Sen, D., Sumegi L., and Noonan, P. 2011. An exploration of relations between visual appeal, trustworthiness and perceived usability of homepages. ACM Trans. Comput.-Hum. Interact. 18, 1 (April 2011), 1--30. DOI= http://doi.acm.org/10.1145/1959022.1959023

Digital Library

Google Scholar

[9]

Lombardi, M. 2007. Authentic Learning for the 21st Century: An Overview. Advancing learning through IT innovation. Educase Learning Initiative Paper 1, Retrieved from http://net.educause.edu/ir/library/pdf/eli3009.pdf

Google Scholar

[10]

Tractinsky, N. and Hassenzahl, M. 2005. Arguing for Aesthetics in Human-Computer Interaction. i-com.4, 3 (March 2005), 66--68. DOI= http://dx.doi.org/10.1524/icom.2005.4.3.66

Crossref

Google Scholar

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Brusilovsky PEdwards SKumar AMalmi LBenotti LBuck DIhantola PPrince RSirkiä TSosnovsky SUrquiza JVihavainen AWollowski M(2014)Increasing Adoption of Smart Learning Content for Computer Science EducationProceedings of the Working Group Reports of the 2014 on Innovation & Technology in Computer Science Education Conference10.1145/2713609.2713611(31-57)Online publication date: 23-Jun-2014
https://dl.acm.org/doi/10.1145/2713609.2713611

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ITiCSE '13: Proceedings of the 18th ACM conference on Innovation and technology in computer science education

July 2013

384 pages

ISBN:9781450320788

DOI:10.1145/2462476

General Chair:
Janet Carter
University of Kent, UK
,
Program Chairs:
Ian Utting
University of Kent, UK
,
Alison Clear
Christchurch Polytechnic Institute of Technology, NZ

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 July 2013

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July 1 - 3, 2013

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Brusilovsky PEdwards SKumar AMalmi LBenotti LBuck DIhantola PPrince RSirkiä TSosnovsky SUrquiza JVihavainen AWollowski M(2014)Increasing Adoption of Smart Learning Content for Computer Science EducationProceedings of the Working Group Reports of the 2014 on Innovation & Technology in Computer Science Education Conference10.1145/2713609.2713611(31-57)Online publication date: 23-Jun-2014
https://dl.acm.org/doi/10.1145/2713609.2713611

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Teaching task analysis for user interface design: lessons learned from three pilot studies

“Regular” CS × Inclusive Design = Smarter Students and Greater Diversity

A critical evaluation of literature on visual aesthetics for the web

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