DocumentCode :
1804662
Title :
Using knowledge building to support deep learning, collaboration and innovation in engineering education
Author :
Ellis, Glenn W. ; Rudnitsky, Alan N. ; Moriarty, Mary A.
fYear :
2010
fDate :
27-30 Oct. 2010
Abstract :
Knowledge building is a potentially transformative approach to engineering education. In knowledge building students participate in an interactive discourse in which they work together to broaden ideas, reform problems and share knowledge-the result being a deeper level of understanding and the collaborative production of new knowledge. In 2009 we conducted a knowledge building pilot study in the Picker Engineering Program at Smith College. In this study students worked together to formulate a question about the potential for a conscious machine and then engaged in an intensive knowledge building discourse. Assessment data showing the effectiveness of the approach and research questions arising from the study are presented.
Keywords :
engineering education; innovation management; collaboration; deep learning; engineering education; innovation; knowledge building; Collaboration; Communities; Educational institutions; Engineering education; Knowledge engineering; Presses; deep learning; discourse; knowledge building; narrative; preparation for future learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Education Conference (FIE), 2010 IEEE
Conference_Location :
Washington, DC
ISSN :
0190-5848
Print_ISBN :
978-1-4244-6261-2
Electronic_ISBN :
0190-5848
Type :
conf
DOI :
10.1109/FIE.2010.5673212
Filename :
5673212
Link To Document :
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