Perceptual supports for sensemaking: a case study using multi agent based computational learning environments
Pages 151 - 152
Abstract
Many studies have examined how learners make sense of the traditionally difficult ideas of levels and emergence in complex systems by interacting with visuospatial multi agent based models. In this poster, we review these findings through the lens of human basic perceptual/representational systems. We argue that many of learners' observed strategies and explanations surrounding the ideas of levels and emergence are supported by visualizations that leverage perceptual systems related to objects, motion, and geometry.
References
[1]
Blikstein, P., & Wilensky, U. (2004). MaterialSim: An Agent-Based Simulation Toolkit for Learning Materials Science. Paper presented at the Int. Conference on Engineering Education, Gainesville, FL, USA.
[2]
Jacobson, M. J. & Wilensky, U. (2006). Complex systems in education: Scientific and education importance and implications for the learning sciences. The Journal of the Learning Sciences, 15(1), 11-34.
[3]
Johnson, S. P. & Nááñez, J. E. (1995). Young infant's perception of object unity in two-dimensional displays. Infant Behavior and Development, 18(2), 133-143.
[4]
Levy, S. T. & Wilensky, U. (2008). Inventing a "Mid Level" to Make Ends Meet: Reasoning between the Levels of Complexity. Cognition & Instruction, 26(1), 1-47.
[5]
Sengupta, P., & Wilensky, U. (2006). NIELS: An agent-based modeling environment for learning electromagnetism. Paper presented at the AERA 2007.
[6]
Sengupta, P., Wilkerson, M. & Wilensky, U. (2007). On The Relationship Between Spatial Knowledge And Learning Electricity: Comparative Case Studies of Students Using 2D And 3D Emergent, Computational Learning Environments. Paper presented at AERA 2007.
[7]
Spelke, E. S. & Kinzler, K. D. (2007). Core Knowledge. Developmental Science, 10(1) 89-96.
[8]
Stieff, M., & Wilensky, U. (2003). Connected Chemistry - incorporating interactive simulations into the chemistry classroom. Journal of Science Education and Technology, 12(3), 285-302.
[9]
Tversky, B., Morrison, J. B., & Betrancourt, M. (2003). Animation: Can It Facilitate? International Journal of Human-Computer Studies, 57(4), 247-262.
[10]
Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo. Center for Connected Learning and Computer-Based Modeling. Northwestern University, Evanston, IL.
[11]
Wilensky, U. (2003). Statistical mechanics for secondary school: The GasLab Modeling Toolkit. International Journal of Computers for Mathematical Learning, 8(1), 1-41. (special issue on agent-based modeling).
Index Terms
- Perceptual supports for sensemaking: a case study using multi agent based computational learning environments
Recommendations
An Agent Supports Constructivist and Ecological Rationality
WI-IAT '09: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02An agent architecture supports the two forms of deliberation used by human agents. The work is founded on the two forms of rationality described by the two Nobel Laureates Friedrich Hayek and Vernon Smith. Cartesian, constructivist rationalism leads to ...
Students' Perceptions of the Technological Supports for Problem-based Learning
This paper reports students' perceptions of the technological supports that assist problem-based learning (PBL). There are a number of tasks in the PBL processes, which can be supported by technological advances. A Web-based system has been developed to ...
Perceptual usability: predicting changes in visual interfaces & designs due to visual acuity differences
AVI '08: Proceedings of the working conference on Advanced visual interfacesWhen designing interfaces and visualizations how does a human or automatic visual interface designer know how easy or hard it will be for viewers to see the interface? In this paper we present a perceptual usability measure of how easy or hard visual ...
Comments
Information & Contributors
Information
Published In
June 2008
421 pages
Publisher
International Society of the Learning Sciences
Publication History
Published: 24 June 2008
Qualifiers
- Article
Acceptance Rates
Overall Acceptance Rate 307 of 307 submissions, 100%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 45Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 13 Nov 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