COLLECTIVE DESIGN: MERGING INDUSTRY AND EDUCATIONAL METHODS FOR MULTIDISCIPLINARY STUDENT DESIGN PROJECTS
DS 83: Proceedings of the 18th International Conference on Engineering and Product Design Education (E&PDE16), Design Education: Collaboration and Cross-Disciplinarity, Aalborg, Denmark, 8th-9th September 2016
Editor: Erik Bohemia, Ahmed Kovacevic, Lyndon Buck, Christian Tollestrup, Kaare Eriksen, Nis Ovesen
Author: Mclening, Christian; Warrington, Paul
Institution: 1The Arts University Bournemouth, 2Aston University
Section: Preparing Students for Cross-dsciplinarity
Design Background: This study seeks to enhance students learning through the development and
application of the Collective Design Method; combining industry tools and techniques with
educational approaches. By applying industry best practice in terms of project planning and
implementation tools, case studies and examples of best practice, alongside student lead teaching
techniques, students can build up their live project experience and confidence while working with
industry processes, helping them transition from education to industry.
The study University has significant developmental experience in undergraduate level practice based
learning through - CONCIEVE, DESIGN, IMPLEMENT, OPERATE - the CDIO approach to
student-led practical learning at University level. The European Shell Eco-marathon challenge will
form the basis of the practical design project and will involve a multidisciplinary team of students
including Mechanical Engineering, Product Design and Design Management students.
Methodology: A large scale, year long, team project has been running at the University annually for a
number of years through the Shell Eco-marathon competition. This then provides the benchmark
project for the new study. Review and Conclusions: The study will evaluate the teams’ progress and learning gained through the
application of the Collective Design Method process and tools in comparison to the previous student
teams. Results are to be presented in the form of statistical data, qualitative user feedback and case
studies to highlight areas of best practice.