Teaching statistics to engineering students – an Australian experience of using educational technologies

Khan, Shahjahan and Khadem, Mohammad MR Khan and Piya, Sujan (2017) Teaching statistics to engineering students – an Australian experience of using educational technologies. SQU Journal for Science, 22 (2). pp. 120-126. ISSN 1027-524X

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Abstract

Engineers require scientific methods whereby models are developed to explain real phenomena. Model building, data collection, data analysis, and data interpretation form the very core of any sound engineering practice. Therefore statistical methodologies are vital components in engineering curricula and engineers should have the ability to think statistically when dealing with data. They should learn how to design and conduct well-planned experiments to improve the efficiency of the process and the quality of products, and must learn to deal with data, and interpret results produced as a part of their data analysis skills. Statistical methods are vital in engineering practices such as process monitoring by control charts, process optimization by response surface methodology, determining important factors by hypothesis testing, process modelling by regression analysis, initial pilot plant operation by design of experiments and laboratory recommendation. This paper shares some of the experiences of teaching statistics to undergraduate engineering students in an Australian University, focusing on the appropriate content, teaching technique, educational technology, software package, online support and evaluation in an engineering problem solving course. Results from an online survey of students are also presented.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Access to published version in accordance with the open access copyright policy of the publisher. Open Access Journal
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 22 Jan 2018 02:20
Last Modified: 11 Apr 2018 00:11
Uncontrolled Keywords: distance learning; problem-based learning; teaching statistics; screen casting; web-based teaching; on-line survey; educational technology
Fields of Research : 01 Mathematical Sciences > 0104 Statistics > 010499 Statistics not elsewhere classified
09 Engineering > 0999 Other Engineering > 099999 Engineering not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970113 Expanding Knowledge in Education
Identification Number or DOI: doi:10.24200/squjs.vol22iss2pp120-126
URI: http://eprints.usq.edu.au/id/eprint/22185

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