Scientific Modeling Using Large Scale Knowledge

The intelligent research assistant, VERA, supports inquiry-based modeling by supplying contextualized large-scale domain knowledge in the Encyclopedia of Life. Learners can use VERA to construct conceptual models of ecological phenomena, run them as simulations, and review their predictions. A study...

Descripción completa

Detalles Bibliográficos
Autores principales: An, Sungeun, Bates, Robert, Hammock, Jen, Rugaber, Spencer, Weigel, Emily, Goel, Ashok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334698/
http://dx.doi.org/10.1007/978-3-030-52240-7_4
_version_ 1783553982855118848
author An, Sungeun
Bates, Robert
Hammock, Jen
Rugaber, Spencer
Weigel, Emily
Goel, Ashok
author_facet An, Sungeun
Bates, Robert
Hammock, Jen
Rugaber, Spencer
Weigel, Emily
Goel, Ashok
author_sort An, Sungeun
collection PubMed
description The intelligent research assistant, VERA, supports inquiry-based modeling by supplying contextualized large-scale domain knowledge in the Encyclopedia of Life. Learners can use VERA to construct conceptual models of ecological phenomena, run them as simulations, and review their predictions. A study on the use of VERA by college-level students indicates that providing access to large scale but contextualized knowledge helped students build more complex models and generate more hypotheses in problem-solving.
format Online
Article
Text
id pubmed-7334698
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-73346982020-07-06 Scientific Modeling Using Large Scale Knowledge An, Sungeun Bates, Robert Hammock, Jen Rugaber, Spencer Weigel, Emily Goel, Ashok Artificial Intelligence in Education Article The intelligent research assistant, VERA, supports inquiry-based modeling by supplying contextualized large-scale domain knowledge in the Encyclopedia of Life. Learners can use VERA to construct conceptual models of ecological phenomena, run them as simulations, and review their predictions. A study on the use of VERA by college-level students indicates that providing access to large scale but contextualized knowledge helped students build more complex models and generate more hypotheses in problem-solving. 2020-06-10 /pmc/articles/PMC7334698/ http://dx.doi.org/10.1007/978-3-030-52240-7_4 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
An, Sungeun
Bates, Robert
Hammock, Jen
Rugaber, Spencer
Weigel, Emily
Goel, Ashok
Scientific Modeling Using Large Scale Knowledge
title Scientific Modeling Using Large Scale Knowledge
title_full Scientific Modeling Using Large Scale Knowledge
title_fullStr Scientific Modeling Using Large Scale Knowledge
title_full_unstemmed Scientific Modeling Using Large Scale Knowledge
title_short Scientific Modeling Using Large Scale Knowledge
title_sort scientific modeling using large scale knowledge
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334698/
http://dx.doi.org/10.1007/978-3-030-52240-7_4
work_keys_str_mv AT ansungeun scientificmodelingusinglargescaleknowledge
AT batesrobert scientificmodelingusinglargescaleknowledge
AT hammockjen scientificmodelingusinglargescaleknowledge
AT rugaberspencer scientificmodelingusinglargescaleknowledge
AT weigelemily scientificmodelingusinglargescaleknowledge
AT goelashok scientificmodelingusinglargescaleknowledge

Ejemplares similares