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contributor authorThuy Nguyen
contributor authorFernando Mondragon
contributor authorWilliam J. O’Brien
contributor authorKathy Jackson
contributor authorRaja R. A. Issa
contributor authorEddy M. Rojas
date accessioned2017-05-08T21:40:32Z
date available2017-05-08T21:40:32Z
date copyrightSeptember 2012
date issued2012
identifier other%28asce%29cp%2E1943-5487%2E0000180.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/59148
description abstractKnowledge of students’ construction and technology background is an important input to the process of designing technology-enhanced instruction. Current literature in student background is either not specific for the construction/civil engineering student population or lacks direct implications for pedagogical design. This paper presents a survey study that assesses students’ self-reported technology skills and attitude, learning preferences, and baseline construction knowledge. The survey is designed as a questionnaire with three sections: demographic and background information, technology attitude and exposure, and construction-related knowledge. From the 280 data points collected, it was found that today’s students are exposed to a wide range of technology applications. They had a positive attitude toward technology, were enthusiastic video-game players, and strongly preferred learning activities that involved interactions, whether these interactions were face-to-face or mediated by technology. These findings suggest that technology-assisted learning would excite and engage students. The paper also provides a discussion on specific pedagogical design implications of the findings and ways in which these could be incorporated in the design of technology-enhanced learning tools.
publisherAmerican Society of Civil Engineers
titleStudent Background and Implications for Design of Technology-Enhanced Instruction
typeJournal Paper
journal volume26
journal issue5
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)CP.1943-5487.0000173
treeJournal of Computing in Civil Engineering:;2012:;Volume ( 026 ):;issue: 005
contenttypeFulltext


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