Using Lego NXT to explore scientific literacy in disaster prevention and rescue systems
Bih-Yaw Shih,
Chen-Yuan Chen (),
Chung-Wei Chen and
I Hsin
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2012, vol. 64, issue 1, 153-171
Abstract:
This study explores the effectiveness of disaster prevention programs using NXT control techniques. The purpose of the cultivation of scientific literacy is to develop a more rational, scientific perspective on the current social changes and the impact of natural disasters. Using NXT as an effective scientific tool to support science education, we can further explore science education for the development of scientific literacy. The expectation confirmation model and technology acceptance model are used to explain the effect of technology products on the user’s satisfaction and intention. However, for the interpretation of scientific literacy, there is a lack of environmental and cognitive factors. So we combine social cognitive theory with social and scientific theories in our exploration of the use of NXT for the dominant effect of scientific literacy. The results demonstrate that users’ self-efficacy and the ease of use of NXT have low significance on use of scientific tools, but, at the end, it did not affect the user wishes. The interactions of NXT features and climate are the main causes of enhanced user intentions. Therefore, environmental factors are identified as an important reason for the development of scientific literacy. The results of this study on scientific literacy stimulate more directions for discussion. Copyright Springer Science+Business Media B.V. 2012
Keywords: Social cognitive theory (SCT); Expectation confirmation model (ECM); Technology acceptance model (TAM); Disaster prevention; Risk aversion (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (9)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:64:y:2012:i:1:p:153-171
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DOI: 10.1007/s11069-012-0233-2
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