We investigated a constructive and an example-based scaffold when learning from dynamic visualizations about climate change. Learners collaboratively or individually generated a diagram that represented energy flow (constructive scaffold) or observed a peer learner generating the diagram (example-based scaffold). We hypothesized that collaborative learners would benefit more from the constructive than the example-based scaffold, but that the opposite would be the case for individual learners. Seventy-one university students were randomly allocated to conditions in the 2X2 between-subjects design. Climate change understanding was measured at pre- and posttest. Preliminary results supported our hypothesis. We conclude that the constructive scaffold elicited questions that led to deep engagement in the collaborative condition, resulting in better understanding. Individual learners possibly failed to recognize crucial concepts in the constructive condition because they had questions but nobody to discuss with. They profited more from the example-based scaffold which emphasized central concepts of climate change.
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Interpreting Graphs to Distinguish Factors that Impact Climate Change
Scientists use models and graphs to distinguish among factors that impact a phenomenon (for example, the impact of CO2 accumulation on climate change) and factors that do not impact the phenomenon (for example the role of ozone depletion on climate change). In this paper, we compare two forms of exploration of time series line graphs: plan and typical. In the plan condition, students plan an experiment with a model by graphing the level of a system parameter (e.g., concentration of greenhouse gases) and the predicted response of an outcome variable (e.g., temperature). They then run the model to observe the accuracy of their predictions. In the typical condition, students run the simulation immediately and adjust the parameter level as they see fit. Students produced more informative experiments in the plan condition than the typical condition. Students in the plan condition made inferences by comparing their prediction to the outcome.
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- Award ID(s):
- 1813713
- PAR ID:
- 10180412
- Date Published:
- Journal Name:
- Computersupported collaborative learning
- Volume:
- 3
- ISSN:
- 1573-4552
- Page Range / eLocation ID:
- 1653-1656
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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