Genevo-an emergent systems microworld for model-based scientific inquiry in the context of genetics and evolution

Sugat Dabholkar, Gabriella Anton, Uri Wilensky

Research output: Contribution to journalConference article

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.

Original languageEnglish (US)
Pages (from-to)1617-1618
Number of pages2
JournalProceedings of International Conference of the Learning Sciences, ICLS
Volume3
Issue number2018-June
StatePublished - Jan 1 2018
Event13th International Conference of the Learning Sciences, ICLS 2018: Rethinking Learning in the Digital Age: Making the Learning Sciences Count - London, United Kingdom
Duration: Jun 23 2018Jun 27 2018

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Students
learning environment
student
poster
Curricula
biology
Large scale systems
curriculum
demand
learning
Genetics

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

Cite this

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Genevo-an emergent systems microworld for model-based scientific inquiry in the context of genetics and evolution. / Dabholkar, Sugat; Anton, Gabriella; Wilensky, Uri.

In: Proceedings of International Conference of the Learning Sciences, ICLS, Vol. 3, No. 2018-June, 01.01.2018, p. 1617-1618.

Research output: Contribution to journalConference article

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