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Lego NXT information on test dimensionality using Kolb’s innovative learning cycle

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  • Bih-Yaw Shih
  • Chin-Jui Chang
  • Ying-Hsiu Chen
  • Chen-Yuan Chen
  • Yau-Dong Liang

Abstract

Recently, artificial intelligence has been successfully applied to hazard prevention. Lego has released a programmable module, which many educational organizations and micro-operation robots have used. This has given rise to a new topic of study, how to use Lego NXT in education. In this paper, we present an application of Lego NXT in the subject of mathematics. The principle is based on Kolb’s innovative learning cycle that the user’s active learning and cooperative learning concepts complete the whole process of learning experience. In order to compare the effectiveness of learning, we use an experimental group and a control group and give then pre- and posttests. In addition, we proposed the technology acceptance model to investigate users’ degree of acceptance of Lego. The results show that our approach can improve the users’ mathematical achievements and strengthen the users’ intention to use. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Bih-Yaw Shih & Chin-Jui Chang & Ying-Hsiu Chen & Chen-Yuan Chen & Yau-Dong Liang, 2012. "Lego NXT information on test dimensionality using Kolb’s innovative learning cycle," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1527-1548, November.
    • Handle: RePEc:spr:nathaz:v:64:y:2012:i:2:p:1527-1548
    DOI: 10.1007/s11069-012-0318-y
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    References listed on IDEAS

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