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A surrogate competition approach to enhancing game-based learning

Published:01 December 2013Publication History
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Abstract

Competition is useful in game-based learning, although it can also generate negative influences. To expand the potential for competition models in game-based learning, this study proposes the notion of surrogate competition, which eliminates direct competition between students. Such surrogates could be employed as buffers so that the competition between students is more relaxed. To explore the possible benefits of a surrogate approach to competition, the My-Pet-My-Arena system has been developed and evaluated. Two empirical studies were conducted to examine the effects of the surrogate competition. The results revealed that surrogate competition enhanced students’ learning achievement as well as increased their motivation. Furthermore, the surrogate competition might also assist students in attributing competitive failures to a lack of effort. Working from the results obtained in these two studies, a general model of surrogate competition is proposed to help designers implement forms of surrogate competition in other systems for game-based learning.

References

  1. R. Butler and A. Kedar. 1990. Effects of intergroup competition and school philosophy on student perceptions, group processes, and performance. Contemporary Educational Psychology, 15, 301--18.Google ScholarGoogle ScholarCross RefCross Ref
  2. T. W. Chan, Y. L. Chung, R. G. Ho, W. J. Hou, and G. L. Lin. 1992. Distributed learning companion systems—WEST revisited. In Proceedings of the 2nd International Conference of Intelligent Tutoring Systems. Springer-Verlag, 643--650. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. S. B. Chang, Y. C. Deng, H. N. H. Cheng, H. C. Liao, F. Y. Yu, and T. W. Chan. 2007. Implementation and Evaluation of EduBingo for Arithmetic Drill. In Proceedings of the 1st IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning. 99--103. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. B. Chang, C. J. Liu, E. Ching, H. N. H. Cheng, B. Chang, F. C. Chen, D. Wu, and T. W. Chan. 2009. EduBingo: Developing a content sample for the one-to-one classroom by the content-first design approach. Educational Technology and Society 12, 3, 343--353.Google ScholarGoogle Scholar
  5. Z. H. Chen, C. Y. Chou, Y. C. Deng, and T. W. Chan. 2007. Active open learner models as animal companions: Motivating children to learn through interacting with My-Pet and Our-Pet. International Journal of Artificial Intelligence in Education 17, 2, 145--167. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Z. H. Chen, C. C. Y. Liao, T. C. Chien, and T. W. Chan. 2011. Animal Companions: Fostering children's effort-Making by nurturing virtual pets. British Journal of Educational Technology, 42(1), 166--180.Google ScholarGoogle ScholarCross RefCross Ref
  7. H. N. H. Cheng, W. M. C. Wu, C. C. Y. Liao, and T. W. Chan. 2009. Equal Opportunity Tactic: Redesigning and applying competition games in classrooms. Computers and Education, 53(3), 866--876. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. P. R. Clinkenbeard. 1989. The motivation to win: negative aspects of success at competition. Journal for the Education of the Gifted, 12, 293--305.Google ScholarGoogle ScholarCross RefCross Ref
  9. A. Collins, J. S. Brown, and S. E. Newman. 1989. Cognitive Apprenticeship: Teaching the crafts of reading, writing and mathematics. In L. B. Resnick (Ed.), Knowing, Learning and Instruction: Essays in Honor of Robert Glaser. Lawrence Erlbaum Associates, Hillsdale, NJ.Google ScholarGoogle Scholar
  10. M. Csikszentmihalyi. 1990. Flow: The Psychology of Optimal Experience. Harper & Row, New York.Google ScholarGoogle Scholar
  11. G. Davis and S. Rimm. 1985. Education of the Gifted and Talented. Prentice-Hall, Englewood Cliffs, NJ.Google ScholarGoogle Scholar
  12. E. Deci, G. Betley, J. Kahle, L. Abrams, and J. Porac. 1981. When trying to win: Competition and intrinsic motivation. Personality and Social Psychology Bulletin, 7, 79--83.Google ScholarGoogle ScholarCross RefCross Ref
  13. J. Dempsey, K. Rasmussen, and B. Lucassen. 1994. Instructional gaming: Implications for instructional technology. The Annual Meeting of the Association for Educational Communications and Technology, Nashville, TN, 16--20.Google ScholarGoogle Scholar
  14. M. D. Dickey. 2005. Engaging by design: How engagement strategies in popular computer and video games can inform instructional design. Educational Technology Research and Development 53, 2, 67--83.Google ScholarGoogle ScholarCross RefCross Ref
  15. M. D. Dickey. 2007. Game design and learning: A conjectural analysis of how massively multiple online role-playing games (MMORPGs) foster intrinsic motivation. Education Tech Research 55, 253--273.Google ScholarGoogle ScholarCross RefCross Ref
  16. C. Dweck. 2000. Self-Theories: Their Role in Motivation, Personality, and Development, Essays in Social Psychology. Psychology Press, Philadelphia, PA.Google ScholarGoogle Scholar
  17. F. L. Fu, R. C. Su, and S. C. Yu. 2009. EGameFlow: A scale to measure learners’ enjoyment of e-learning games. Computers and Education 52, 1, 101--112. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. J. P. Gee. 2003. What Video Games Have to Teach Us About Learning and Literacy (1st ed.). Palgrave Macmillan, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. E. Hatch and A. Lazaraton. 1991. The Research Manual: Design and Statistics for Applied Linguistics. Newbury House, New York.Google ScholarGoogle Scholar
  20. Y. B. Kafai, D. A. Fields, and M. S. Cook. 2007. Your second selves: Resources, agency and constraints in avatar design in a tween online world. In Proceedings of the Digital Games Research Association (DIGRA’07). 31--39.Google ScholarGoogle Scholar
  21. H. S. Kang and H. D. Yang. 2006. The visual characteristics of avatars in computer-mediated communication: Comparison of internet relay chat and instant messenger. International Journal of Human-Computer Studies, 64, 1173--1183. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. F. Ke. 2008a. Computer games application within alternative classroom goal structures: Cognitive, metacognitive, and affective evaluation. Educational Technology Research and Development 56, 5, 539--556.Google ScholarGoogle ScholarCross RefCross Ref
  23. F. Ke. 2008b. Alternative goal structures for computer game-based learning. International Journal of Computer-Supported Collaborative Learning 3, 4, 429--445.Google ScholarGoogle ScholarCross RefCross Ref
  24. Kinshuk. 1996. Effectiveness of Intelligent Tutoring Tools Interfaces in Relation to Student, Learning Topic and Curriculum Characteristics. Unpublished doctoral dissertation. De Montfort University.Google ScholarGoogle Scholar
  25. M. Kusahara. 2000. The art of creating subjective reality: An analysis of Japanese digital pets. In Proceedings of the Artificial Life 7 Workshop. 141--144.Google ScholarGoogle Scholar
  26. K. S. Lee and Y. F. Tse. 1994. Hanyu Characteristics and Usage. Hong Kong University Press, Hong Kong.Google ScholarGoogle Scholar
  27. S. Lim and B. Reeves. 2009. Being in the game: Effects of avatar choice and point of view on psychophysiological responses during play. Media Psychology 12, 348--370.Google ScholarGoogle ScholarCross RefCross Ref
  28. R. W. P. Luk and A. B. Y. Ng. 1998. Computer-assisted learning of Chinese idioms. Journal of Computer Assisted Learning 14, 2--18.Google ScholarGoogle ScholarCross RefCross Ref
  29. T. W. Malone and M. R. Lepper. 1987. Making learning fun: A taxonomy of intrinsic motivations for learning. In R. E. Snow and M. J. Farr (Eds.), Aptitude, Learning, and Instruction, III: Conative and Affective Process Analysis. Hillsdale, NJ: Lawrence Erlbaum Associates, Hillsdale, NJ, 223--225.Google ScholarGoogle Scholar
  30. R. Martens. 1976. Competition: In need of a theory. In D. M. Landers (Ed.), Social Problems in Athletics. University of Illinois Press, Urbana, IL, 9--14Google ScholarGoogle Scholar
  31. T. Mussweiler. 2003. Comparison processes in social judgment: Mechanisms and consequences. Psychological Review 110, 472--489.Google ScholarGoogle ScholarCross RefCross Ref
  32. C. Nass, E. Y. Kim, and E. J. Lee. 1998. When my face is the interface: An experimental comparison of interacting with one's own face or someone else's face. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’98). ACM Press, New York, NY, 148--154. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. M. Prensky. 2001. Digital Game-Based Learning. McGraw-Hill, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. M. Prensky. 2007. Students as designers and creators of educational computer games. British Journal of Educational Technology 39, 6, 1004--1019.Google ScholarGoogle ScholarCross RefCross Ref
  35. L. Qiu and I. Benbasat. 2005. An investigation into the effects of text-to-speech voice and 3D avatars on the perception of presence and flow of live help in electronic commerce. ACM Transactions on Computer-Human Interaction 12, 4, 329--355. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. H. Sharp, Y. Rogers, and J. Preece. 2007. Interaction Design: Beyond Human-Computer Interaction. Wiley, Hoboken, NJ. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. R. E. Slavin. 1990. Cooperative Learning: Theory, Research, and Practice. Prentice-Hall, Englewood Cliffs, NJ.Google ScholarGoogle Scholar
  38. D. A. Stapel and W. Koomen. 2005. Competition, cooperation, and the effects of others on me. Journal of Personality and Social Psychology 88, 1029--1038.Google ScholarGoogle ScholarCross RefCross Ref
  39. P. Stephen and S. Hornby. 1997. Simple Statistics for Library and Information Professionals. Library Association, London, UK.Google ScholarGoogle Scholar
  40. Z. Waggoner. 2009. My Avatar, My Self: Identity in Video Role-Playing Games. McFarland, Jefferson, NC.Google ScholarGoogle Scholar
  41. B. Weiner. 1985. An attributional theory of achievement motivation and emotion. Psychological Review 92, 548--573.Google ScholarGoogle ScholarCross RefCross Ref
  42. B. Weiner. 1986. An Attributional Theory of Motivation and Emotion. Springer-Verlag, New York.Google ScholarGoogle Scholar
  43. B. Weiner, R. Nicrenberg, and M. Goldstein. 1976. Social learning (locus of control) versus attributional (causal stability) interpretations of expectancy of success. Journal of Personality 44, 52--68.Google ScholarGoogle ScholarCross RefCross Ref
  44. L. H. Wong, C. K. Chih, C. L. Tan, and M. Liu. 2010a. Students’ personal and social meaning making in a Chinese idiom mobile learning environment. Journal of Educational Technology and Society 13, 4, 15--26.Google ScholarGoogle Scholar
  45. L. H. Wong, C. K. Chih, C. L. Tan, M. Liu, and Y. Zhan. 2010b. Analysis of the learner content creation process in a 1:1 seamless idiom learning environment. In Proceedings of the International Conference on Computers in Education. 352--359.Google ScholarGoogle Scholar
  46. W. M. C. Wu, H. N. H. Cheng, M. C. Chiang, Y. C. Deng, C. Y. Chou, C. C. Tsai, and T. W. Chan. 2007. AnswerMatching: A competitive learning game with uneven chance tactic. In Proceedings of the 1st IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning. 89--96. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. F. Y. Yu, L. J. Chang, Y. H. Liu, and T. W. Chan. 2002. Learning preferences towards computerized competitive mode. Journal of Computer-Assisted Learning 18, 341--350.Google ScholarGoogle ScholarCross RefCross Ref

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  1. A surrogate competition approach to enhancing game-based learning

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    Symeon D. Retalis

    This interesting paper clearly describes how the surrogate competition model in game-based learning can lead to a more relaxed and effective student interaction. Using the My-Pet-My-Arena game for learning Chinese, the authors examine and show the positive effects of the surrogate competition. Using a well-structured experiment, the authors show that surrogate competition in a game-based learning environment influences student learning in terms of motivation, achievement, and belief. The experiment was divided into three steps. At each step, a slightly different variation of the game was given to students to learn Chinese idioms. The proposed game is based on the concept of pet care, which was incorporated into the game storyline. This type of game is very attractive to children. One typical example is JumpStart Pet Rescue for the Wii [1]. To the best of my knowledge, there are no recent similar research studies published in the literature. This clearly indicates that there is room for research and development of character-mediated competition mechanisms in learning games [2]. Online Computing Reviews Service

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    • Published in

      cover image ACM Transactions on Computer-Human Interaction
      ACM Transactions on Computer-Human Interaction  Volume 20, Issue 6
      December 2013
      155 pages
      ISSN:1073-0516
      EISSN:1557-7325
      DOI:10.1145/2562181
      Issue’s Table of Contents

      Copyright © 2013 ACM

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      Publication History

      • Published: 1 December 2013
      • Accepted: 1 September 2013
      • Revised: 1 July 2013
      • Received: 1 October 2011
      Published in tochi Volume 20, Issue 6

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