T253 Research and Strategies to Build a K–12 Geoscience Teacher Workforce

Wednesday, 25 September 2019
8:00 AM - 12:00 PM
Room 106BC, West Building


DEVELOPING SECONDARY STUDENTS REASONING ABOUT THE PHENOMENON OF GLOBAL CLIMATE CHANGE USING MODEL AND DATA-BASED ACTIVITIES

Paper number: T253-12
Program: Technical Sessions
Time: 10:45 AM – 11:00 AM


Authors


Abstract

The adoption of the Next Generation Science Standards (NGSS; NGSS Lead States, 2013) has created a momentum for climate literacy in science education. So far, instruction of global climate change (GCC) has focused on developing students’ understanding about the science inherent to the phenomenon using data-based inquiries, where students observe and explain long-term trends in the Earth’s climate. However, comprehending carbon imbalancesover vast spatial and temporal scales and the impacts of increased carbon dioxide remains challenging. Model-based teaching helps students in understanding such abstract concepts. In this study, we analyze 9th-grade geoscience students’ reasoning from data collected as part of a NSF-funded Project-CliMES (Climate Literacy and Modeling Epistemology of Science). A sequence of eight lessons were implemented in ten classrooms at four secondary school sites in one partner school district. Using student task data and interviews collected through two parallel data-driven activities, a non-model-based (N=90) and a model-based investigation (N=80), we asked, “Howdo students use models to reason about data-driven climate-related phenomena?”Data were analyzed using a mixed method approach grounded in Evidence-Based Reasoning Framework (Brown et al., 2010). We observed that both model- and non-model-based activities engaged students in an investigation of “big data”. However, EzGCM facilitated a more systematic process, where students analyzed data quantitatively and qualitatively through simulations, graphs, and visualizations. They compared IPCC predicted scenarios with a control simulation (a reference period) through multiple modalities. This allowed for a robust analysis of temperature anomalies and comprehending the global and spatial extent of increase in surface temperature and carbon dioxide. Subsequently, students were able to establish a simple causal link between “surface temperature”, time and CO2. This study establishes that model-based teaching can effectively engage learners in methods specific to climate science. These findings have significant implications for curriculum design and implementation of model-based techniques for teaching and learning about the Earth’s climate and GCC.

Geological Society of America Abstracts with Programs. Vol. 51, No. 5

doi: 10.1130/abs/2019AM-337742

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