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- W641610029 abstract "This paper reports on research being conducted as part of a four year funded project in Australia that involves the use of agent-based computer models to help students learn about climate change. The intervention in this study involved different sequences of structure provided as part of pedagogical guidance for problem solving and learning activities with agent based models. Thirty-three grade nine students in an all girls' school in Australia participated in the study that used two NetLogo models of greenhouse gases and the carbon cycle. There were significant findings of learning gains from pretest to post test by all students, and qualitative observations and teacher interviews suggest that the students were highly engaged and enjoyed learning with the agent-based computer models. Implications and future research plans are discussed." @default.
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- W641610029 date "2012-04-01" @default.
- W641610029 modified "2023-09-23" @default.
- W641610029 title "Model-based learning about climate change with productive failure: preliminary findings" @default.
- W641610029 hasPublicationYear "2012" @default.
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