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The Challenge of Integrating AI & Smart Technology in Design Education

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Abstract

This paper examines some of the many problems and issues associated with integrating new and developing technologies into the education of future designers. As technology in general races ahead challenges arise for both commercial designers and educators on how best to keep track and utilise the advances. The challenge is particularly acute within tertiary education where the introduction of new cutting edge technology is often encouraged. Although this is generally achieved through the feedback of research activity, integrating new concepts at an appropriate level is a major task. Of particular concern is how focussed areas of applied technology can be made part of the multidisciplinary scope of design education.

The paper describes the model used to introduce areas of Artificial Intelligence (AI) to undergraduate industrial design students. The successful interaction of research and education within a UK higher education establishment are discussed and project examples given. It is shown that, through selective tuition of research topics and appropriate technical support, innovative design solutions can result. In addition, it shows that by introducing leading edge and, in some cases, underdeveloped technology, specific key skills of independent learning, communication and research methods can be encouraged.

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REFERENCES

  • Aleksander, I.: 1984,‘Wisard – A Radical Step Forward in Image Recognition’ Sensor Review, July, 120–124.

  • Aleksander, I. & Stonham, T. J.: 1979,‘Guide to Pattern Recognition Using Random-access Memories’ IEE Proceedings on Computers and Digital Techniques 2, 29–40.

    Google Scholar 

  • Bonner, J. V. H.: 1999,‘Implications for Using Intelligence in Consumer Products’ in W. S. Green & P. W. Jordan (eds.), Human Factors in Product Design, Taylor & Francis, London, 56–63, ISBN 0-7484-0829-0.

    Google Scholar 

  • Cardionetics.: 2000, http://www.cardionetics.co.uk.

  • Ewing, P. D.: 1987, Curriculum Development Report on Industrial Design Engineering, The Design Council, UK.

    Google Scholar 

  • Gardner, H.: 1993, Frames of Mind, 2nd ed., Harper Collins, London.

    Google Scholar 

  • Hofstadter, D. R.: 2000, Gödel, Escher, Bach: An Eternal Golden Braid, 20th-anniversary edition, Penguin Books, London.

    Google Scholar 

  • Jordan, P. W.: 1998, An Introduction to Usability, Taylor & Francis, London.

    Google Scholar 

  • Mackintosh, N. J.: 1998, IQ and Human Intelligence, Oxford University Press, New York.

    Google Scholar 

  • McCardle, J. R.: 1998,‘The Workshop in Model Based Systems and Qualitative Reasoning’ MONET Newsletter – The European Network of Excellence in MBS & QR.

  • MONET: 2000, The European Network of Excellence in Model Based Systems and Qualitative Reasoning, http://monet.aber.ac.uk/.

  • Myerson, J.: 1991, Technological Change and Industrial Design Education: A Review of Changing Practices on Industrial and Product Design Courses in UK Higher Education, Council for National Academic Awards, London, UK.

    Google Scholar 

  • Neumann, P. G.: 1995, Computer Related Risks, ACM Press, Addison Wesley, New York, ISBN 0-201-55805-X.

    Google Scholar 

  • Oxford: 1997, Artificial Intelligence – (def.), Oxford Dictionary of Computing, Oxford University Press, ISBN 0-19-280046-9.

  • Rich, E. & Knight, K.: 1991, Artificial Intelligence, McGraw-Hill, London.

    Google Scholar 

  • Sloman, A.: 1995,‘A Philosophical Encounter’ Proceedings 14th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 1995.

  • Sloman, A.: Winter 2000,‘Artificial Intelligence, an Illustrative Overview’ AISB Quarterly, No. 103, 31–35.

    Google Scholar 

  • Sony: 2000, AIBO, http://www.aibo-europe.com/.

  • Stanton, N.: 1998, Human Factors in Consumer Products, Taylor & Francis, London.

    Google Scholar 

  • Stonham, T. J.: 2000, http://www.brunel.ac.uk/departments/ee/Research_Programme/NN/ EENN.html

  • Wayt Gibbs, W.: 1996,‘Creating a New Cross Discipline’ Scientific American Explorations: Smart Materials, May 1996. Also avalable at http://www.sciam.com/explorations/ 050596explorationsbox2.html

STUDENT READING LIST

  • Aleksander, I. & Morton, H.: 1989, An Introduction to Neural Computing, Chapman & Hall, London.

    Google Scholar 

  • Dayhoff, J.: 1990, Neural Network Architectures, Van Nostrand Reinhold, New York.

    Google Scholar 

  • Liengme, B.: 1997, A Guide to Microsoft Excel for Scientists and Engineers, Arnold, Oxford.

    Google Scholar 

  • Rumelhart, D. & McClelland, J.: 1989, Parallel Distributed Processing (Pt1 & 2), MIT Press.

  • Tarassenko, L.: 1998, A Guide to Neural Computing Applications, Arnold, Oxford.

    Google Scholar 

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McCardle, J.R. The Challenge of Integrating AI & Smart Technology in Design Education. International Journal of Technology and Design Education 12, 59–76 (2002). https://doi.org/10.1023/A:1013089404168

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