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    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Borrego, Maura Karlin, Jennifer McNair, Lisa D. and Beddoes, Kacey 2013. Team Effectiveness Theory from Industrial and Organizational Psychology Applied to Engineering Student Project Teams: A Research Review. Journal of Engineering Education, Vol. 102, Issue. 4, p. 472.

    Masterson, Fiona 2013. Knowledge Management Innovations for Interdisciplinary Education.


A framework for design engineering education in a global context

  • Andrew J. Wodehouse (a1), Hilary J. Grierson (a1), Caroline Breslin (a2), Ozgur Eris (a3), William J. Ion (a1), Larry J. Leifer (a4) and Ade Mabogunje (a4)
  • DOI:
  • Published online: 01 July 2010

This paper presents a framework for teaching design engineering in a global context using innovative technologies to enable distributed teams to work together effectively across international and cultural boundaries. The Digital Libraries for Global Distributed Innovative Design, Education, and Teamwork (DIDET) Framework represents the findings of a 5-year project conducted by the University of Strathclyde, Stanford University, and Olin College that enhanced student learning opportunities by enabling them to partake in global, team-based design engineering projects, directly experiencing different cultural contexts and accessing a variety of digital information sources via a range of innovative technology. The use of innovative technology enabled the formalization of design knowledge within international student teams as did the methods that were developed for students to store, share, and reuse information. Coaching methods were used by teaching staff to support distributed teams and evaluation work on relevant classes was carried out regularly to allow ongoing improvement of learning and teaching and show improvements in student learning. Major findings of the 5-year project include the requirement to overcome technological, pedagogical, and cultural issues for successful eLearning implementations. The DIDET Framework encapsulates all the conclusions relating to design engineering in a global context. Each of the principles for effective distributed design learning is shown along with relevant findings and suggested metrics. The findings detailed in the paper were reached through a series of interventions in design engineering education at the collaborating institutions. Evaluation was carried out on an ongoing basis and fed back into project development, both on the pedagogical and the technological approaches.

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C. Breslin , D. Nicol , H. Grierson , A. Wodehouse , N. Juster , & W.J. Ion (2007). Embedding an integrated learning environment and digital repository in design engineering education: lessons learned for sustainability. British Journal of Educational Technology 38(5), 805816.

C.L. Dym , A.M. Agogino , O. Eris , D.D. Frey , & L.J. Leifer (2005). Engineering design thinking, teaching, and learning. Journal of Engineering Education 94, 103120.

M. Frank , I. Lavy , & D. Elata (2003). Implementing the project-based learning approach in an academic engineering course. International Journal of Technology and Design Education 13, 273288.

H. Grierson , A. Wodehouse , C. Breslin , W. Ion , D. Nicol , & N. Juster (2008). An evaluation study of a digital library of ideas: workflow model and classroom use. International Journal on Digital Libraries 9(1), 2939.

L. McGill , D. Nicol , A. Littlejohn , H. Grierson , N. Juster , & W.J. Ion (2005). Creating an information rich learning environment to enhance design student learning: challenges and approaches. British Journal of Educational Technology 36(4), 629642.

D.J. Nicol , A. Littlejohn , & H. Grierson (2005). The importance of structuring information and resources within shared workspaces during collaborative design learning. Open Learning: The Journal of Open and Distance Learning 20(1), 3139.

A.S. Palincsar (1998). Social constructivist perspectives on teaching and learning. Annual Review of Psychology 49(31), 345364.

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  • ISSN: 0890-0604
  • EISSN: 1469-1760
  • URL: /core/journals/ai-edam
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