Local ground: A toolkit supporting meta-representational competence in data science

Sarah Van Wart, Tapan Parikh

Research output: Contribution to journalConference article

Abstract

Local Ground is an online data collection, mapping and visualization platform that allows youth to learn and use data skills in support of local projects. Local Ground is unique in its ability to display and translate between a variety of representations of spatial phenomena, starting with drawings. In our studies, we have found that students have used Local Ground to combine and translate between different representations for sense-making and communication.

Original languageEnglish (US)
Pages (from-to)1589-1590
Number of pages2
JournalProceedings of International Conference of the Learning Sciences, ICLS
Volume3
Issue numberJanuary
StatePublished - Jan 1 2014
Event11th International Conference of the Learning Sciences: Learning and Becoming in Practice, ICLS 2014 - Boulder, United States
Duration: Jun 23 2014Jun 27 2014

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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