Discovery-based games for learning software

Tao Dong, Mira Dontcheva, Diana Joseph, Kyratso George Karahalios, Mark W. Newman, Mark S. Ackerman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationConference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Pages2083-2086
Number of pages4
DOIs
StatePublished - May 24 2012
Event30th ACM Conference on Human Factors in Computing Systems, CHI 2012 - Austin, TX, United States
Duration: May 5 2012May 10 2012

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other30th ACM Conference on Human Factors in Computing Systems, CHI 2012
CountryUnited States
CityAustin, TX
Period5/5/125/10/12

Keywords

  • Discovery learning
  • Learning games
  • Software training

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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