Engineering learning
Pages 503 - 504
Abstract
Theoretical development in the area of engineering learning requires synergistic interaction among scholars in engineering education and learning sciences. To make theoretical progress we need to examine what makes engineering unique compared to other domains as well as build on existing work on learning in related domains of mathematics and science education. The purpose of this workshop is to bring together scholars from both communities to review existing work and produce guidelines for future work.
References
[1]
Felder, R. M., Shepard, S. D., & Smith, K. A. (2005). A New Journal for a Field in Transition. Journal of Engineering Education, 7--10.
[2]
Heywood, J. (2005). Engineering education: Research and development in curriculum and instruction. IEEE Press.
[3]
Johri, A. & Lohani, V. (2008). Representational Literacy and Participatory Learning: Analyzing Tablet Experiences in Large Classes. In Proceedings of 38th ASEE/IEEE Frontiers in Education Conference Saratoga Springs, NY. pp. S3J-1-S3J-6.
[4]
Olds, B. & Johri, A. (under review). Engineering Learning and the Learning Sciences: Exploring a Potentially Powerful Collaboration. Journal of Engineering Education.
[5]
Streveler, R. A., Litzinger, T. A., Miller, R. L., and Steif, P. S. (2008). Learning Conceptual Knowledge in the Engineering Sciences: Overview and Future Research Directions. Journal of Engineering Education, 279--294.
[6]
Stevens, R. (2000). Divisions of labor in school and in the workplace: Comparing computer and paper-supported activities across settings. The Journal of the Learning Sciences, 9(4), 373--401.
[7]
Wenger, E. (1998). Communities of practice: Learning, meaning and identity. Cambridge: Cambridge University Press.
Recommendations
Learning Engineering @ Scale
L@S '20: Proceedings of the Seventh ACM Conference on Learning @ ScaleScaled learning requires a novel set of practices on the part of professionals developing and delivering systems of scaled learning. IEEE's Industry Connections Industry Consortium for Learning Engineering (ICICLE) defines learning engineering as "a ...
Learning Engineering @ Scale
L@S '21: Proceedings of the Eighth ACM Conference on Learning @ ScaleScaled learning requires a novel set of practices on the part of professionals developing and delivering systems of scaled learning. According to IEEE's Industry Connections Industry Consortium for Learning Engineering (ICICLE), "Learning engineering is ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
June 2010
629 pages
- Conference Chairs:
- Susan Goldman,
- James Pellegrino,
- Editors:
- Kimberly Gomez,
- Leilah Lyons,
- Joshua Radinsky
Publisher
International Society of the Learning Sciences
Publication History
Published: 29 June 2010
Qualifiers
- Research-article
Acceptance Rates
Overall Acceptance Rate 307 of 307 submissions, 100%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 15Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Reflects downloads up to 04 Oct 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in