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A text analytics evaluation of a first-year engineering project-based unit

Palmer, Stuart and Hall, Wayne 2016, A text analytics evaluation of a first-year engineering project-based unit, in PAEE/ALE 2016 : Proceedings of the 8th International Symposium on Project Approaches in Engineering Education and 14th Active Learning in Engineering Education Combined Conference and Workshop, Project Approaches in Engineering Education Association, Guimarães, Portugal, pp. 28-35.

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Title A text analytics evaluation of a first-year engineering project-based unit
Author(s) Palmer, StuartORCID iD for Palmer, Stuart orcid.org/0000-0002-2517-0597
Hall, Wayne
Conference name Project Approaches in Engineering Education and Active Learning in Engineering Education. Combined Conference and Workshop (2016 : Guimarães, Portugal)
Conference location Guimarães, Portugal
Conference dates 6-8 Jul. 2016
Title of proceedings PAEE/ALE 2016 : Proceedings of the 8th International Symposium on Project Approaches in Engineering Education and 14th Active Learning in Engineering Education Combined Conference and Workshop
Editor(s) Lima, Rui M.
de Graaff, Erik
Alves, Anabela
Menezes, Andromeda
Mesquita, Diana
Dinis-Carvalho, José
Bettaieb, Lamjed
van Hattum-Janssen, Natascha
Costa, Nelson
Sousa, Rui M.
Fernandes, Sandra
Villas-Boas, Valquíria
Publication date 2016
Start page 28
End page 35
Total pages 8
Publisher Project Approaches in Engineering Education Association
Place of publication Guimarães, Portugal
Keyword(s) engineering education
project-based learning
first-year design
student evaluation of teaching
text analytics
Summary In the undergraduate engineering program at Griffith University in Australia, the unit 1006ENG Design and Professional Skills aims to provide an introduction to engineering design and professional practice through a project-based learning (PBL) approach to problem solving. It provides students with an experience of PBL in the first-year of their programme. The unit comprises an underpinning lecture series, design work including group project activities, an individual computer-aided drawing exercise/s and an oral presentation. Griffith University employs a ‘Student Experience of Course’ (SEC) online survey as part of its student evaluation of teaching, quality improvement and staff performance management processes. As well as numerical response scale items, it includes the following two questions inviting open-ended text responses from students: i) What did you find particularly good about this course? and ii) How could this course be improved? The collection of textual data in in student surveys is commonplace, due to the rich descriptions of respondent experiences they can provide at relatively low cost. However, historically these data have been underutilised because they are time consuming to analyse manually, and there has been a lack of automated tools to exploit such data efficiently. Text analytics approaches offer analysis methods that result in visual representations of comment data that highlight key individual themes in these data and the relationships between those themes. We present a text analytics-based evaluation of the SEC open-ended comments received in the first two years of offer of the PBL unit 1006ENG. We discuss the results obtained in detail. The method developed and documented here is a practical and useful approach to analysing/visualising open-ended comment data that could be applied by others with similar comment data sets.
ISBN 9789892068299
ISSN 2183-1378
Language eng
Field of Research 091503 Engineering Practice
Socio Economic Objective 930501 Education and Training Systems Policies and Development
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, The Authors
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084973

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.