Sri Rahayu, Ananta Ardyansyah
Socioscientific issues (SSI) require strong argumentation skills to support sound decision-making. Toulmin's Argument Pattern (TAP) is effective for assessing argument quality; however, manual evaluation is often time-consuming and prone to bias. Leveraging GPT offers a solution for developing automated assessments that are efficient, objective, and reliable. This article provides a guide for creating automated assessments of argumentation skills in chemistry-related SSI. This automated assessment was developed using Claude. The app produced by Claude to evaluate arguments is fully functional. This guide can be used with the free package provided. © 2026. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
Chemistry Department, Faculty of Mathematics and Science, Universitas Negeri Malang, Malang, Indonesia
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