Some of the recent attempts for improving and transforming engineering education are reviewed. The attempts aim at providing the entry level engineers with the skills needed to address the challenges of future large-scale complex systems and projects. Some of the frontier sectors and future challenges for engineers are outlined. The major characteristics of the coming intelligence convergence era (the post-information age) are identified. These include the prevalence of smart devices and environments, the widespread applications of anticipatory computing and predictive / prescriptive analytics, as well as a symbiotic relationship between humans and machines. Devices and machines will be able to learn from, and with, humans in a natural collaborative way. The recent game changers in learnscapes (learning paradigms, technologies, platforms, spaces, and environments) that can significantly impact engineering education in the coming era are identified. Among these are open educational resources, knowledge-rich classrooms, immersive interactive 3D learning, augmented reality, reverse instruction / flipped classroom, gamification, robots in the classroom, and adaptive personalized learning. Significant transformative changes in, and mass customization of, learning are envisioned to emerge from the synergistic combination of the game changers and other technologies. The realization of the aforementioned vision requires the development of a new multidisciplinary framework of emergent engineering for relating innovation, complexity and cybernetics, within the future learning environments. The framework can be used to treat engineering education as a complex adaptive system, with dynamically interacting and communicating components (instructors, individual, small, and large groups of learners). The emergent behavior resulting from the interactions can produce progressively better, and continuously improving, learning environment. As a first step towards the realization of the vision, intelligent adaptive cyber-physical ecosystems need to be developed to facilitate collaboration between the various stakeholders of engineering education, and to accelerate the development of a skilled engineering workforce. The major components of the ecosystems include integrated knowledge discovery and exploitation facilities, blended learning and research spaces, novel ultra-intelligent software agents, multimodal and autonomous interfaces, and networked cognitive and tele-presence robots.
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National Academy of Engineering (NAE), The Engineer of 2020: Visions of Engineering in the New Century, The National Academies Press, Washington, DC, 2004
Duderstadt, J.J., Engineering for a changing World: A roadmap to the future of engineering practice, research, and education, University of Michigan, Ann Arbor, MI, 2008
Davison R.C. (Rapporteur), Engineering curricula: Understanding the design space and exploiting the opportunities, Summary of a workshop, National Academy of Engineering, Washington, DC, 2010.
Tryggvason G., Apelian D (editors), Shaping our world: Engineering education for the 21st century, John Wiley and sons, 2011.
Graham, R., Achieving Excellence in Engineering Education: the ingredients of a successful change, the Royal Academy of Engineering, London, UK, March 2012
American Society of Engineering Education, Innovation with Impact — Creating a Culture for Scholarly Innovation in Engineering Education, Report supported in part by a grant from the National Science Foundation, Washington, DC, June 2012
Oblinger, D.G. (editor), Game Changers — Education and Information Technologies, ebook from EDUCAUSE, 2012. http://www.educause.edu/research-publications/books/game-changers-education-and-information-technologies
De Campos L.C., Dirani E.A.T., Manrique A.L., Hattum-Janssen N. (editors), Project approaches to learning in engineering education: The practice of teamwork, Sense publishers, Rotterdam, the Netherlands, 2012.
Noor A.K., Emerging interdisciplinary fields in the coming intelligence/convergence era, CEJE, 2(3), 2012, 315–324.
Boult, T., Reddy, V.K., Dandapani, R., Stock, G.N., Polok, N., The Bachelor of Innovation Family of Degrees: Transforming Education in Engineering to Education in Innovation, in Transforming Engineering Education: Creating Interdisciplinary Skills for Complex Global Environments, IEEE, 2010.
Infusing real world experiences into engineering education, National Academy of Engineering, Washington, DC, 2012.
Sioshansi, F.P., Smart Grid: Integrating Renewable, distributed and Efficient Energy, Elsevier Inc., 2012
Borlase, S. (editor), Smart Grids: Infrastructure, Technology, and Solutions, CRC Press, 2013
Hill, T., Symmonds, G., The Smart Grid for Water: How Data Will save our water and our Utility, Advantage, Charleston, South Carolina, 2013
Towards a Smart Mobility Roadmap 2014 — 2020, Report published by Automotive NL, 2012 http://lp.ncdownloader.com/EBook1/?q=smart%20mobility%20roadmap%20pdf
Singh, S., New Mega Trends: Implications for our Future Lives, Palgrave Macmillan, UK, 2012.
Naphade, M., Banavar, G., Harrison, C., Paraszczak, J., Morris, R, Smarter Cities and their Innovation Challenges, IEEE Computer, 44(6), June 2011, 32–39.
Zhao, Y.F., Xu, X., Enabling cognitive manufacturing through automated on-machine measurement planning and feedback, Advanced Engineering Informatics, 24(3), 2010, 269–284.
Lipson, H, Kurman, M., Fabricated: The New World of 3D Printing, John Wiley and Sons, Inc., 2013
Mayer-Schonberger, V., Cukier, K., Big Data — A revolution that will transform how we Live, Work, and Think, An Eamon Dolan Book, Boston, 2013
Siegel, E., Predictive Analytics — The Power to Predict who will Click, Buy, Lie, or Die, John Wiley and Sons, Inc., Hoboken, New Jersey, 2013
Hof, R.D., Deep Learning, MIT Technology Review, 116(3), 2013, 32–36.
Human Computer Confluence, Report on the Future and Emerging Technologies (FET) Consultation Workshop held in Brussels on November 11, 2011, Information Society and Media group of the European Commission, February 2012.
New Media Consortium and EDUCAUSE Learning Initiative, The NMC Horizon Report: 2013 Higher Education Edition, 2013. http://net.educause.edu/ir/library/pdf/HR2013.pdf
Zappa, M., Envisioning the future of Education Technology, An online Infographic presentation, http://envisioningtech.com/envisioning-the-future-of-education.pdf
Marquis, J., Envisioning the future of Education Technology, http://www.onlineuniversities.com/blog/2012/08/envisioning-future-educational-technology/
Jacobi, R., Jelgerhuis, H., van der Woert, N. (editors), Trend Report: Open Educational Resources 2013, Published by the Open Educational Resources Special Interest Group, March 2013, www.SURF.NL/TRENDREPORTOER2013
Mouza, C., Lavigne, N. (editors), Emerging Technologies for the Classroom — A learning Science Perspective, Springer, New York, 2013
Cai, Y. (editor), 3D Immersive and Interactive Learning, Springer, Singapore, 2013
Craig, A.B., Understanding Augmented Reality — Concepts and Applications, Morgan Kaufman / Elsevier, Waltham, MA, 2013.
Kapp, K.M., The Gamification of Learning and Instruction — Game Based Methods and strategies for Training and Education, John Wiley and Sons (co published with ASTD), 2012.
Bergmann, J., Sams, A., Flip Your Classroom: Reach Every Student in Every Class Every Day, Iste, ASCD, 2013.
McKenna A.F., Froyd J., Litzinger T. (Guest editors), The complexities of transforming engineering higher education, Special issue of the journal of engineering education, American society of engineering education, Washington DC, 2013
Noor A.K., Training for the next wave, Mechanical Engineering, 134(3), 2012, 34–37.
Stephens R., Richey M., Accelerating STEM Capacity: Complex Adaptive System Perspective, Journal of Engineering Education, 100(3), 2011, 417–423.
Madhaven, K., Johri, A., Xian, H., Jesiek, B.K., Wang, G.A., Vorvoreanu, M., Liu, X., Khandeparker, A., Wankat, P.C., Understanding the Engineering Education Research Problem Space Using Interactive Knowledge Networks and Topic Modeling Techniques, on line report http://filebox.vt.edu/users/ajohri/publications/ikneer_report.pdf
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Noor, A.K. Envisioning engineering education and practice in the coming intelligence convergence era — a complex adaptive systems approach. cent.eur.j.eng 3, 606–619 (2013). https://doi.org/10.2478/s13531-013-0122-9
- Anticipatory computing
- Augmented reality
- Complex adaptive system, Convergence
- Flipped classroom
- Game changers
- Immersive 3D learning
- Intelligence era
- Tele-presence robots