Game design for bioinformatics and cyberinfrastructure learning: a parallel computing case study
Corresponding Author
Daniel Perry
Human Centered Design and Engineering, University of Washington, Seattle, WA, USA
Correspondence to: Daniel Perry, Department of Human Centered Design & Engineering, University of Washington, 428 Sieg Hall, Box 352315 Seattle, WA 98195.
E-mail: [email protected]
Search for more papers by this authorJohn Robinson
Human Centered Design and Engineering, University of Washington, Seattle, WA, USA
Search for more papers by this authorStephanie Cruz
Center for Workforce Development, University of Washington, Seattle, WA, USA
Search for more papers by this authorCecilia Aragon
Human Centered Design and Engineering, University of Washington, Seattle, WA, USA
Search for more papers by this authorJeanne Ting Chowning
Institute for Science and Math Education, University of Washington, Seattle, WA, USA
Search for more papers by this authorCorresponding Author
Daniel Perry
Human Centered Design and Engineering, University of Washington, Seattle, WA, USA
Correspondence to: Daniel Perry, Department of Human Centered Design & Engineering, University of Washington, 428 Sieg Hall, Box 352315 Seattle, WA 98195.
E-mail: [email protected]
Search for more papers by this authorJohn Robinson
Human Centered Design and Engineering, University of Washington, Seattle, WA, USA
Search for more papers by this authorStephanie Cruz
Center for Workforce Development, University of Washington, Seattle, WA, USA
Search for more papers by this authorCecilia Aragon
Human Centered Design and Engineering, University of Washington, Seattle, WA, USA
Search for more papers by this authorJeanne Ting Chowning
Institute for Science and Math Education, University of Washington, Seattle, WA, USA
Search for more papers by this authorSUMMARY
As a growing number of serious games have been developed for biology and computer science learning, few address the communication and technical challenges that arise in cyberinfrastructure (CI) intensive projects, where multiple-domain scientists collaborate. This paper describes empirical data collected during a year-long human-centered game design process, in which design ideas generated by high-school students were bridged with bioinformatics and parallel computing learning concepts. Our research shows that ‘fun’ and engaging game elements are actually well suited for addressing the sociotechnical aspects of CI projects. We provide a human-centered game design methodology, as well as a case study, in which this methodology is applied to the design of parallel computing-focused mini-games. This research has implications for integrating large-scale computing concepts such as shared resources and services into gaming experiences. It also has implications for supporting learning through enjoyable and fun experiences as part of a larger CI collaborative environment. Copyright © 2014 John Wiley & Sons, Ltd.
REFERENCES
- 1 Margolis J, Fisher A. Unlocking the Clubhouse: Women in Computing. MIT Press: Cambridge, MA, USA, 2003.
- 2 Mayo M. Games for science and engineering education. In Communications of the ACM 2007; 50(7): 31–35.
- 3 Lenhart A, et al. Teens, Videogames and Civics. Pew Research Center: Washington, DC, 2008. Retrieved January 10, 2013 from http://www.pewinternet.org/Reports/2008/Teens-Video-Games-and-Civics.aspx
- 4 Bogost I. Persuasive Games: the Expressive Power of Video Games. MIT Press: Cambridge, MA, USA, 2007.
- 5 McGonigal J. Reality is Broken: Why Games Make Us Better and How They Can Change the World. Penguin: London, 2011.
- 6 Fabri M, Moore DJ, Hobbs DJ. Mediating the expression of emotion in educational collaborative virtual environments: an experimental study. In International Journal of Virtual Reality. Springer Verlag: London, 2004.
- 7 Lazzaro N. Why we play: affect and the fun of games. Designing emotions for games, entertainment interfaces and interactive products. In The Human–Computer Interaction Handbook. Fundamentals, Evolving Technologies and Emerging Applications. Lawrence Erlbaum Associates: New York, 2008.
- 8 Prensky M. Digital Game-based Learning. McGraw-Hill: New York, NY, 2001.
- 9 McKenna S. Steven Reiner Urges Scientists to Tell Their Stories. HPCwire. Aug. 7, 2012. Retrieved March 1, 2013 from http://www.hpcwire.com/hpcwire/2012-08-07/steven_reiner_urges_scientists_to_tell_their_stories.html
- 10 Atkins D. Revolutionizing science and engineering through cyberinfrastructure: report of the National Science Foundation blue-ribbon advisory panel on cyberinfrastructure, 2003.
- 11 Perry D, et al. Human centered game design for bioinformatics and cyberinfrastructure learning. Proceedings of the Conference on Extreme Science and Engineering Discovery Environment. ACM, 2013; 74.
- 12 Cherns A. The principles of sociotechnical design. Human Relations 1976; 29(8): 783–792.
- 13 Zimmerman A. A socio-technical framework for cyberinfrastructure design. Proc. of e-Social Science 2007; 10.
- 14 Lynch C. The institutional challenges of cyberinfrastructure and e-research. Educause Review 2008; 43(6): 74–76.
- 15 Ribes D, Bowker GC. Organizing for multidisciplinary collaboration: the case of the geosciences network. Scientific collaboration on the internet, 2008; 311.
- 16 Ribes D, Lee CP. Sociotechnical studies of cyberinfrastructure and e-research: current themes and future trajectories. Computer Supported Cooperative Work (CSCW) 2010; 19(3): 231–244.
- 17 Oviatt, S. Human-centered design meets cognitive load theory: designing interfaces that help people think. International Multimedia Conference: Proc. of the 14 the annual ACM international conference on Multimedia 2006; 23(27): 871–880.
- 18 Pagulayan RJ et al. User-centered design in games. In The Human–Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications. L. Erlbaum Associates Inc.: Hillsdale, NJ, USA, 2003; 883–906.
- 19 Aragon C, et al. Sunfall: a collaborative visual analytics system for astrophysics. Journal of Physics: Conference Series 2008; 125(1): 012091. IOP Publishing.
- 20 Aragon C, Poon S. No sense of distance: improving cross-cultural communication with context-lined software tools. Proc. of the 2011 iConference 2011; 159–165.
- 21 Prestopnik N. Cooperative visualization: a design case. Proc. of the 2013 iConference. ACM, 2013.
- 22
Kitchen AT,
Schaller NC,
Tymann PT. Game playing as a technique for teaching parallel computing concepts. ACM SIGCSE Bulletin 1992; 24(3): 35–38.
10.1145/142040.142064 Google Scholar
- 23 Overmars M. Teaching computer science through game design. Computer 2004; 37(4): 81–83.
- 24 Papastergiou M. Digital game-based learning in high school computer science education: impact on educational effectiveness and student motivation. Computers & Education 2009; 52(1): 1–12.
- 25 Annetta LA et al. Investigating the impact of video games on high school student's engagement and learning about genetics. Computers & Education 2009; 53: 74–85.
- 26 Cooper S et al. Predicting protein structures with a multiplayer online game. Nature 2010; 466(7307): 756–760.
- 27 Malan DJ, Leitner HH. Scratch for budding computer scientists. Technical Symposium on Computer Science Education: Proc. of the 38th SIGCSE technical symposium on Computer science education 2007; 7(11): 223–227.
- 28
Jacobsen CL,
Jadud MC. Towards concrete concurrency: occam-pi on the LEGO Mindstorms. ACM SIGCSE Bulletin 2005; 37(1): 431–435.
10.1145/1047124.1047485 Google Scholar
- 29 Corbin J, Strauss A. Grounded theory research: procedures, canons and evaluative criteria. Qualitative Sociology 1990; 13: 3–21.
- 30 Merelli I, et al. Latest advances in distributed, parallel, and graphic processing unit accelerated approaches to computational biology. Concurrency and Computation: Practice and Experience, 2013; 26(10): 1699–1704.
- 31 BLAST. Retrieved March 3, 2013 from http://blast.ncbi.nlm.nih.gov
- 32 Jalview. Retrieved April 19, 2013 from http://jalview.org
- 33 Kolikant YBD. Learning concurrency: evolution of students' understanding of synchronization. International Journal of Human-Computer Studies 2004; 60(2): 243–268.
- 34
Kay J et al. Problem-based learning for foundation computer science courses. Computer Science Education 2000; 10(2): 109–128.
10.1076/0899-3408(200008)10:2;1-C;FT109 Google Scholar
- 35 Oliver K, Hannifan M. Developing and refining mental models in open-ended learning environments: a case study. Educational Technology Research and Development 2001; 49(4): 5–32.
- 36
Gee JP. What Video Games Have to Teach Us about Learning. Palgrave: New York, NY, 2003.
10.1145/950566.950595 Google Scholar
- 37 Rapeepisarn K, et al. The relationship between game genres, learning techniques and learning styles in educational computer games. In Technologies for E-Learning and Digital Entertainment, 2008; 497–508.
- 38 de Assunção MD, Buyya R. Performance analysis of allocation policies for interGrid resource provisioning. Information and Software Technology 2009; 51(1): 42–55.
- 39 Berriman GB, et al. The application of cloud computing to astronomy: a study of cost and performance. In e-Science Workshops, 2010 6th IEEE International Conference, IEEE, 2010; 1–7.
- 40 Deelman E, et al. The cost of doing science on the cloud: the montage example. Proc. of the 2008 ACM/IEEE conference on Supercomputing, IEEE, 2008; 50.
- 41
Kim Y,
Crowston K. Technology adoption and use theory review for studying scientists' continued use of cyber-infrastructure. Proceedings of the American Society for Information Science and Technology 2011; 48(1): 1–10.
10.1002/meet.2011.14504801043 Google Scholar
- 42 Herr BW et al.. Designing highly flexible and usable cyberinfrastructures for convergence. Annals of the New York Academy of Sciences 2006; 1093(1): 161–179.
- 43 Yang CT et al. G-BLAST: a grid-based solution for mpiBLAST on computational grids. Concurrency and Computation: Practice and Experience 2009; 21(2): 225–255.
- 44
Kumar S et al.. Breaking ciphers with COPACOBANA—a cost-optimized parallel code breaker. In Cryptographic Hardware and Embedded Systems-CHES 2006. Springer: Berlin Heidelberg, 2006; 101–118.
10.1007/11894063_9 Google Scholar
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