Computational Model Library

AAAPS: AI-Augmented Academic Performance Simulation (1.0.0)

Agent-based model simulating 60 undergraduate CS students over 8 semesters to investigate how differential AI tool access affects academic inequality, performance distributions, and dependency formation. Implements a three-phase AI dependency mechanism (effort reduction, metacognitive miscalibration, capability erosion) under five policy scenarios with a 4,050-run parameter sensitivity sweep.

Release Notes

Initial release. Implements 60 undergraduate student agents over 8 semesters under 5 AI-access policy scenarios (baseline, free market, universal AI, subsidy, mixed policy). Includes three-phase AI dependency mechanism (effort reduction, metacognitive miscalibration, capability erosion), 4,050-run parameter sensitivity sweep via joblib parallel execution, and full analysis pipeline.

Associated Publications

“Equal Access, Unequal Benefit: An Agent-Based Simulation of AI Tool Access in Higher Education” submitted to JASSS

AAAPS: AI-Augmented Academic Performance Simulation 1.0.0

Submitted by Tuul Triyason Published Jul 22, 2026 Last modified Jul 22, 2026
agent-based modeling education artificial intelligence academic performance public policy simulation socioeconomic inequality

Agent-based model simulating 60 undergraduate CS students over 8 semesters to investigate how differential AI tool access affects academic inequality, performance distributions, and dependency formation. Implements a three-phase AI dependency mechanism (effort reduction, metacognitive miscalibration, capability erosion) under five policy scenarios with a 4,050-run parameter sensitivity sweep.

Release Notes

Initial release. Implements 60 undergraduate student agents over 8 semesters under 5 AI-access policy scenarios (baseline, free market, universal AI, subsidy, mixed policy). Includes three-phase AI dependency mechanism (effort reduction, metacognitive miscalibration, capability erosion), 4,050-run parameter sensitivity sweep via joblib parallel execution, and full analysis pipeline.

Cite this Model

Tuul Triyason (2026, July 22). “AAAPS: AI-Augmented Academic Performance Simulation” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/dc1dc57b-9fb3-498e-9abc-98d91920f542/releases/1.0.0/

Associated Publication(s)

“Equal Access, Unequal Benefit: An Agent-Based Simulation of AI Tool Access in Higher Education” submitted to JASSS

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Contributors
Tuul Triyason
External Repository
github.com/xipponk/aaaps
DOI
No assigned DOI
Model Version
1.0.0
License
MIT
Programming Language
Python
Software Framework
Mesa
Operating System
Operating System Independent
Publish Date
Wednesday, July 22, 2026
Last Updated
Wednesday, July 22, 2026
Downloads 0
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.0.0 Tuul Triyason Wed Jul 22 02:39:14 2026 Wed Jul 22 02:39:16 2026 Published

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