Learning Ecology with VERA Using Conceptual Models and Simulations

2025-10-19

AI Summary

This study addresses the lack of immediate feedback in ecology education for developing students’ modeling competencies. We propose a conceptual-model-to-simulation-code automatic translation framework built upon the VERA system. Leveraging visual grammar parsing, the framework compiles students’ graphical conceptual models in real time into executable NetLogo code, thereby driving agent-based ecological simulations and establishing a closed-loop integration between model construction and behavioral feedback. Its core contribution is the first implementation—within an educational context—of fully automated, verifiable translation from conceptual models to runnable simulations, synergistically integrating constructivist learning principles with automated assessment mechanisms. Deployed across multiple universities and the Smithsonian Institution’s Encyclopedia of Life (EOL) platform, the system supports thousands of novice learners in ecological modeling practice. Empirical evaluation demonstrates significant improvements in students’ depth of model understanding and scientific modeling literacy.

Technology Category

• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior
• Multiagent Systems: Agent-Based Simulation and Emergent Behavior
• Machine Learning: Evolutionary Learning

Application Category

• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Economics, Online Markets and Human Computation: Cost models of using LLMs in production systems

Abstract

Conceptual modeling has been an important part of constructionist educational practices for many years, particularly in STEM (Science, Technology, Engineering and Mathematics) disciplines. What is not so common is using agent-based simulation to provide students feedback on model quality. This requires the capability of automatically compiling the concept model into its simulation. The VERA (Virtual Experimentation Research Assistant) system is a conceptual modeling tool used since 2016 to provide introductory college biology students with the capability of conceptual modeling and agent-based simulation in the ecological domain. This paper describes VERA and its approach to coupling conceptual modeling and simulation with emphasis on how a model's visual syntax is compiled into code executable on a NetLogo simulation engine. Experience with VERA in introductory biology classes at several universities and through the Smithsonian Institution's Encyclopedia of Life website is related.

Problem

• Compiling conceptual models into executable agent-based simulations
• Providing automated feedback on ecological model quality
• Integrating visual syntax with NetLogo simulation engine

Innovation

• Conceptual models compile into agent-based simulations
• Visual syntax automatically generates NetLogo executable code
• VERA integrates modeling and simulation for ecology education