Discovery-based games for learning software

  • Authors:
  • Tao Dong;Mira Dontcheva;Diana Joseph;Karrie Karahalios;Mark Newman;Mark Ackerman

  • Affiliations:
  • University of Michigan, Ann Arbor, Michigan, United States;Adobe Systems, San Francisco, California, United States;Adobe Systems, San Jose, California, United States;University of Illinois, Urbana, Illinois, United States;University of Michigan, Ann Arbor, Michigan, United States;University of Michigan, Ann Arbor, Michigan, United States

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2012

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Abstract

We propose using discovery-based learning games to teach people how to use complex software. Specifically, we developed Jigsaw, a learning game that asks players to solve virtual jigsaw puzzles using tools in Adobe Photoshop. We conducted an eleven-person lab study of the prototype, and found the game to be an effective learning medium that can complement demonstration-based tutorials. Not only did the participants learn about new tools and techniques while actively solving the puzzles in Jigsaw, but they also recalled techniques that they had learned previously but had forgotten.