Ontological Alignment

Theory · All theories
Evidence · 3 claims (1 for, 2 mixed) · 3 studies (1 causal, 1 qualitative, 1 theoretical), q1–q3 · 0 of 3 report an effect size · 3 claims rest on one study

Description

Computational modeling tools such as agent-based modeling (ABM) environments structure a phenomenon in a specific way — for example, foregrounding individual agents' properties and interactions rather than aggregate-level events. Ontological alignment names the instructional work of coordinating between students' own existing ideas about a phenomenon and that specific representational structure, rather than treating any mismatch simply as a student misconception to correct. Because different tools foreground different ontologies (agent-based tools highlight micro-level mechanism; other representational systems might better suit macro-level phenomena), the alignment work is tool-specific: a teacher must help students recognize which of their existing ideas map onto the tool's building blocks, and where the tool's structure doesn't match their intuitive framing.

Implications

Context

• Most relevant when introducing a new computational modeling tool to students with no prior experience with that representational system
• Requires a teacher who understands both the students' likely existing ideas and the specific structural choices built into the modeling tool

Target Learners

• Middle-school students (studied at grade 6) encountering agent-based modeling software for the first time, with no prior ABM experience

Target Learning Objectives

• Building mechanistic, agent-level explanations of a phenomenon (e.g., particle diffusion) using a computational modeling tool, rather than accepting the tool's outputs without connecting them to one's own reasoning

Claims

• External empirical evidence can refute a computational model of particle interactions when the model's own simulation cannot [+W]
• Novices can and do reason across ontological categories in everyday and scientific contexts [~W]
• No significant performance difference was found between the causal-only and simulation-only conditions, nor between the mismatched and partly matched conditions [~W]

Related Theories

• (none yet linked)

Examples

• Three Practices for Ontological Alignment in Computational Modeling — the classroom practices this theory was developed to characterize

Key Sources

• Wagh, A., Rosenbaum, L. F., Fuhrmann, T., Eloy, A., Blikstein, P., & Wilkerson, M. (2025). Toward Ontological Alignment: Coordinating Student Ideas with the Representational System of a Computational Modeling Unit for Science Learning. Cognition and Instruction, 43(1-2), 1-32. https://doi.org/10.1080/07370008.2024.2427400
• Wilensky, U., & Resnick, M. (1999). Thinking in levels: A dynamic systems approach to making sense of the world. Journal of Science Education and Technology, 8(1), 3-19.

Page metadata

Field	Value
type	theory
title	Ontological Alignment
description	Coordinating between students' existing ideas and the representational system of a computational modeling tool — treating a tool's structure (what it makes visible and manipulable) as something a teacher must actively interface with student thinking, rather than treating gaps in student understanding only as misconceptions to correct.
status	review
canonical	True
generated	by claude/unspecified on 2026-08-29
trust	unverified — no one has confirmed this page's content
sources	1 — wagh-et-al-2025

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