Teaching statistics to engineering students – an Australian experience of using educational technologies
Article
Article Title | Teaching statistics to engineering students – an Australian experience of using educational technologies |
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Article Category | Article |
Authors | Khan, Shahjahan (Author), Khadem, Mohammad MR Khan (Author) and Piya, Sujan (Author) |
Journal Title | SQU Journal for Science |
Journal Citation | 22 (2), pp. 120-126 |
Number of Pages | 7 |
Year | 2017 |
Place of Publication | Muscat, Oman |
Digital Object Identifier (DOI) | https://doi.org/10.24200/squjs.vol22iss2pp120-126 |
Web Address (URL) | https://journals.squ.edu.om/index.php/squjs/article/view/2424 |
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. |
Keywords | distance learning; problem-based learning; teaching statistics; screen casting; web-based teaching; on-line survey; educational technology |
ANZSRC Field of Research 2020 | 490599. Statistics not elsewhere classified |
409999. Other engineering not elsewhere classified | |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
Sultan Qaboos University, Oman | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q190z/teaching-statistics-to-engineering-students-an-australian-experience-of-using-educational-technologies
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