Inventing a “Mid Level” to Make Ends Meet: Reasoning between the Levels of Complexity
Authors:
- 14 January 2008
- journal article
- research article
- Published by Taylor & Francis in Cognition and Instruction
- Vol. 26 (1) , 1-47
Abstract
There has been a body of emerging research describing students' understanding of complex systems. This research has primarily studied students understanding of complex phenomena in science. However, complex phenomena are also pervasive in everyday life. Children observe and participate in them daily. How do they reason about such ordinary complex phenomena? In this study, we investigate students' reasoning about everyday complex phenomena. We report on interviews and a classroom participatory simulation with ten sixth-grade students about ordinary events that could be construed as emergent, such as social situations in which the social pattern emerges from the participating students' individual actions. We have observed a widespread student-initiated strategy for making sense of complex phenomena. We call this strategy “mid level construction,” the formation of small groups of individuals. Students form these mid-level groups either by aggregating individuals or by subdividing the whole group. We describe and characterize this mid-level strategy and relate it to the students' expressed understanding of “complex systems” principles. The results are discussed with respect to (a) students' strengths in understanding everyday complex social systems; (b) the utility of mid-level groups in forming an understanding of complex systems; (c) agent-based and aggregate forms of reasoning about complex systems.Keywords
This publication has 38 references indexed in Scilit:
- Commonsense Conceptions of Emergent Processes: Why Some Misconceptions Are RobustJournal of the Learning Sciences, 2005
- A Dynamic, Multi‐Level Model of Culture: From the Micro Level of the Individual to the Macro Level of a Global CultureApplied Psychology, 2004
- Micro-meso-macroJournal of Evolutionary Economics, 2004
- Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functionsCognitive Science, 2004
- Making Constructionism Work in the ClassroomInternational Journal of Computers for Mathematical Learning, 2003
- Participatory Simulations: Building Collaborative Understanding Through Immersive Dynamic ModelingJournal of the Learning Sciences, 2000
- A learner-centered tool for students building modelsCommunications of the ACM, 1996
- Turning music theory on its ear Do we hear what we see; Do we see what we say?International Journal of Computers for Mathematical Learning, 1996
- Epistemological considerations in teaching introductory physicsScience Education, 1995
- Toward an Epistemology of PhysicsCognition and Instruction, 1993