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|Title:||GenEvo - An emergent systems microworld for model-based scientific inquiry in the context of genetics and evolution|
|Publisher:||International Society of the Learning Sciences, Inc. [ISLS].|
|Citation:||Dabholkar, S., Anton, G., & Wilensky, U. (2018). GenEvo - An emergent systems microworld for model-based scientific inquiry in the context of genetics and evolution. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 3. London, UK: International Society of the Learning Sciences.|
|Abstract:||In this poster, we discuss GenEvo, a learning environment that we have designed to engage students in scientific inquiry practices in the context of genetics and evolution. GenEvo belongs to a class of constructionist learning environments that we call Emergent Systems Microworlds (ESM) which combine two design approaches: agent-based modeling of emergent systems and constructionism. An increased emphasis on learning scientific inquiry practices through the use of models has created demand for model-based curricula that incorporate authentic disciplinary inquiry practices. We argue that the design of GenEvo allows students to engage with disciplinary ideas central to modern biology, as well as complex systems thinking that is crucial in contemporary biological research. We also demonstrate that GenEvo makes advanced disciplinary ideas accessible to students in two very different global research settings.|
|Appears in Collections:||ICLS 2018|
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