Work

Contextualizing Large-Scale Domain Knowledge for Conceptual Modeling and Simulation

Year: 2022

Type: preprint

Abstract: We present an interactive modeling tool, VERA, that scaffolds the acquisition of domain knowledge involved in conceptual modeling and agent-based simulations. We describe the knowledge engineering process of contextualizing large-scale domain knowledge. Specifically, we use the ontology of biotic interactions in Global Biotic Interactions, and the trait data of species in Encyclopedia of Life to facilitate the model construction. Learners can use VERA to construct qualitative conceptual models of ecological phenomena, run them as quantitative simulations, and review their predictions.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2209.02579

Authors: An, Sungeun, Rugaber, Spencer, Hammock, Jennifer, Goel, Ashok K.

Institutions: Georgia Institute of Technology, Smithsonian Institution, National Museum of Natural History

Language: English

Topic: Science Education and Pedagogy

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

Funder: National Science Foundation

Awards: BD Spokes: SPOKE: SOUTH: Collaborative: Using Big Data for Environmental Sustainability: Big Data + AI Technology = Accessible, Usable, Useful Knowledge!, AI Institute for Adult Learning and Online Education (ALOE)

OpenAlex ID: W4297647904

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