Kerangka Konseptual Asesmen Menulis Teks Argumentasi: Desain Rubrik Analitik Berbasis Literasi AI
Abstract
The integration of Generative Artificial Intelligence (GenAI) in language education demands a fundamental redefinition of the construct of writing assessment. A major challenge currently is the inability of conventional rubrics—which emphasize mechanical accuracy and surface structure—to distinguish between students' cognitive competence and algorithmic sophistication. This article aims to develop a conceptual framework and prototype design of a new analytical rubric for the assessment of argumentative texts that explicitly integrates the AI literacy dimension. Using a conceptual study method, this research synthesizes key references including language assessment theory, the Toulmin argumentation model, and the concept of distributed agency. This research proposes a paradigm shift in assessment from product-oriented to process-oriented through a "co-creation" model. The main result of this research is the design of an analytical rubric with four main dimensions and their proposed weights: (1) Originality and Idea Synthesis (35%), (2) Critical Evaluation of AI Sources and Outputs (30%), (3) Argumentation Logic (25%), and (4) Mechanics (10%), coupled with the prerequisite of Ethical Transparency. This framework not only addresses the issue of plagiarism but is also designed to encourage self-regulated learning strategies. These findings are expected to serve as a reference for educators and policymakers in designing an assessment ecosystem that is valid, ethical, and capable of fostering critical thinking in students in an era of technological disruption.
PDF Downloads
Copyright (c) 2025 Ayu Herawati, Sudiati, Esti Swatika Sari

This work is licensed under a Creative Commons Attribution 4.0 International License.
DOI:












