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The Effect of Game-feedback and Peer-interaction on Learning Outcome and Intention of Use

With the rapid development of information and communication technologies (ICTs), researchers have been engaging in exploring the potential of ICTs on educational settings. Game-based learning is an application of ICTs for improving learning performance. Simulation-based learning games are usually developed to create virtual worlds where learners can learn by solving the problems in relation to the real world. However, there are still many subjects which are difficult to be developed as simulation-based learning games; in order to provide the entertainment element for those kind of subjects, this study attempted to design non-simulation learning games instead. Two learning support mechanisms were proposed and examined in this study. One is game-feedback which provides useful information for learners to engage in further learning after the game stage. The other is peer-interaction which constructs an environment to facilitate learners interacting among each other. An experiment was conducted with a total of 80 students enrolled in Computer Networks course. The results show that the mechanism of peer-interaction has a significantly positive effect on learning performance, and the mechanism of game-feedback has a significantly positive effect on the intention toward using the developed system for their further learning. Based on the findings, implications on theoretical and practical aspects were discussed for further research directions and practical applications.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0812112-024807
Date12 August 2012
CreatorsChen, Li-Ling
ContributorsJen-Wen Ding, Nian-Shing Chen, Pei-Chen Sun, Kuo-jen Chao
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812112-024807
Rightsuser_define, Copyright information available at source archive

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