Developing multi-player digital adventure education game with motion sensing technologies

Yu Jen Hsu, Chang Hsin Lin, Ju Ling Shih

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Adventure education activities are courses that emphasize on first hand experience learning in situated environment with cooperative groups. In this research, Xbox Kinect and Unity 3D game engine are used to develop the two adventure education games. Digital games can solve some of the problems physical adventure education activities face, such as space limitations and dangers. With the simulations, players can experience the unattainable activities in real life, immerse in the collaborative activities, and explore the value of adventure education. From the post-game reflections, players can perceive their roles in the group, understand the mechanism of leadership, and solve problems. Participants' collaborative gaming process will be recorded by computers and observations conducted by researchers to understand participants' social behaviors. Questionnaires and tests will be used to analyze participants' collaboration patterns. It is hoped that the analysis results offer some in-depth perspectives to the field for the future research.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013
Pages207-209
Number of pages3
DOIs
StatePublished - 2013
Event2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013 - Beijing, China
Duration: 15 Jul 201318 Jul 2013

Publication series

NameProceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013

Conference

Conference2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013
Country/TerritoryChina
CityBeijing
Period15/07/1318/07/13

Keywords

  • Adventure Education
  • Cooperative learning
  • Digital Game-based Learning
  • Motion Sensing Game
  • Situated learning

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