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Automated Assessment of Argumentation Skills in Chemistry-Related Socioscientific Issues Using AI Chatbot
Sri Rahayu1, Ananta Ardyansyah2
1Chemistry Department, Faculty of Mathematics and Science, Universitas Negeri Malang, Malang, Indonesia. sri.rahayu.fmipa@um.ac.id.
Abstract:
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.
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