Asymmetric Rubrics

A Fairer and More Context-Aware Scoring System for Performance Assessment

🧠 About the Asymmetric Rubrics

Asymmetric Rubrics (AR) are a new generation of analytic scoring tools designed to provide more valid, reliable, and equitable performance assessment in education.
Developed by our founder, Dr. Alper Şahin, these rubrics are based on the principles of Asymmetric Theory, bringing a unique lens to assessment through asymmetric prioritization, contextual adaptability, and optimized linearity.

Unlike traditional rubrics that apply uniform weighting and rigid descriptors, Asymmetric Rubrics recognize that not all criteria contribute equally to overall performance.

By using domain-based structure, clearly defined performance indicators, and equal-interval scoring scales, they enhance both scoring precision and inter-rater reliability.


⚙️ How It Works

Each Asymmetric Rubric consists of:

This design enables more realistic, context-sensitive evaluation — balancing objectivity and human judgment in a measurable, replicable way.


🌍 Research and Development

The Asymmetric Rubrics framework is currently in the academic publication process. However, a related presentation was delivered by Dr. Alper Şahin in 2024, introducing the theoretical foundation, development steps, and field applications of the model in language assessment contexts.


💼 Access and Consultation

Asymmetric Rubrics are free to use for educational institutions and researchers. Institutions wishing to develop customized Asymmetric Rubrics or receive training and consultation for integration into existing assessment systems can reach out us :📧 info@asimetry.com


📄 Citation

Şahin, A. (2024, May 10–11). Asymmetric rubrics in assessing productive skills: A validation study [Paper presentation]. 15th METU International ELT Conference, Ankara, Türkiye.