DocumentCode :
1693244
Title :
Developing a framework for conceptual change within scientific inquiry
Author :
Wichmann, Astrid ; Gottdenker, Joshua ; Jonassen, David ; Milrad, Marcelo
Author_Institution :
Sch. of Inf. Sci. & Learning Technol., Missouri Univ., Columbia, MO, USA
fYear :
2003
Firstpage :
382
Lastpage :
383
Abstract :
Scientific inquiry (experimentation and investigation to test hypotheses) is the basis for discovery and theory building in the natural sciences. Learning from the process of scientific inquiry requires loosening our grasp on prior conceptions and constant revision of our mental models based on new experimental results. We posit that learners will require multiple iterations through a ´reflective prediction cycle´ in order to identify, reconcile and revise their misconceptions. Amending the traditional scientific method for experimentation with system model building will help learners to articulate their mental models, make better predictions, and reflect more effectively. Working to reconcile the gaps and inconsistencies within their mental models, systems models, predictions and results, will provide the learners with a powerful, explicit representation of their misconceptions and a means to repair them. Although learners in this project will be firmly seated in scientific concepts relating to plant biology, advanced life support and space colonization, conceptual change within the cycle of modeling, prediction, experimentation, and reflection should be investigated across domains.
Keywords :
botany; natural sciences; teaching; user modelling; advanced life support; conceptual change; hypothesis testing; mental model; natural sciences; plant biology; reflective prediction cycle; scientific inquiry; space colonization; system model building; Biological system modeling; Cognitive science; Collaboration; Educational institutions; Information science; Mathematics; Power system modeling; Predictive models; Space technology; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2003. Proceedings. The 3rd IEEE International Conference on
Print_ISBN :
0-7695-1967-9
Type :
conf
DOI :
10.1109/ICALT.2003.1215134
Filename :
1215134
Link To Document :
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