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

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 p...

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Bibliographic Details
Published in:Natural hazards (Dordrecht) 2012-11, Vol.64 (2), p.1527-1548
Main Authors: Shih, Bih-Yaw, Chang, Chin-Jui, Chen, Ying-Hsiu, Chen, Chen-Yuan, Liang, Yau-Dong
Format: Article
Language:English
Subjects:
Acceptance
Artificial intelligence
Civil Engineering
Disasters
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Education
Engineering and environment geology. Geothermics
Environmental Management
Exact sciences and technology
Expert systems
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Hazards
Hydrogeology
Learning
Mathematical models
Mathematics education
Natural Hazards
Natural hazards: prediction, damages, etc
Original Paper
Risk assessment
Robotics
Robots
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Summary: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.
ISSN:0921-030X
1573-0840
DOI:10.1007/s11069-012-0318-y