Dziallas, Sebastian and Fincher, Sally (2014) Learning to Learn: The Co-Evolution of an Institution and its Students. In: 2014 IEEE Frontiers in Education Conference (FIE) Proceedings. IEEE, pp. 852-858. E-ISBN 978-1-4799-3922-0. (doi:10.1109/FIE.2014.7044126) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:44119)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1109/FIE.2014.7044126 |
Abstract
In this study, we report on the student experience at Olin College, a small undergraduate university in the United States with an explicit mission to transform engineering education. We employ a highly narrative approach to situate students' individual experiences within their larger learning trajectories and use them as a lens through which we view the accounts of their time at college. We highlight a series of themes: from often successful, but traditional high school experiences to an academic dislocation in the first year in college that reinforces fundamentally different values of what it means to be an engineer. The resulting dissonance (and inherent wrestling) students experience as they adjust into an environment that values interdisciplinary activities and student autonomy emerged as a central theme of this study. We connect these themes to shifts in motivation and accountable disciplinary knowledge to reveal what it means for college students to 'learn beyondsuccess'.
Item Type: | Book section |
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DOI/Identification number: | 10.1109/FIE.2014.7044126 |
Uncontrolled keywords: | educational institutions; context; engineering education; interviews; knowledge engineering; materials |
Subjects: |
L Education > LB Theory and practice of education > LB2300 Higher Education Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Sally Fincher |
Date Deposited: | 17 Nov 2014 12:09 UTC |
Last Modified: | 17 Aug 2022 10:57 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/44119 (The current URI for this page, for reference purposes) |
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