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Using extracted features to inform alignment-driven design ideas in an educational game

Published:26 April 2014Publication History

ABSTRACT

As educational games have become a larger field of study, there has been a growing need for analytic methods that can be used to assess game design and inform iteration. While much previous work has focused on the measurement of student engagement or learning at a gross level, we argue that new methods are necessary for measuring the alignment of a game to its target learning goals at an appropriate level of detail to inform design decisions. We present a novel technique that we have employed to examine alignment in an open-ended educational game. The approach is based on examining how the game reacts to representative student solutions that do and do not obey target principles. We demonstrate this method using real student data and discuss how redesign might be informed by these techniques.

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        • Published in

          cover image ACM Conferences
          CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
          April 2014
          4206 pages
          ISBN:9781450324731
          DOI:10.1145/2556288

          Copyright © 2014 ACM

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          Publication History

          • Published: 26 April 2014

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          CHI '14 Paper Acceptance Rate465of2,043submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

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