Instructor Resources
February 7, 2024

Creating an Effective Rubric for AI: Our Tips

Rubric on TimelyGrader

When getting started with assignment setup on TimelyGrader, one of the most important steps is crafting the assignment rubric. This rubric serves as a fundamental element in creating the context that TimelyGrader uses to deliver precise and relevant feedback and grading suggestions. 

A notable illustration of the advantages of a well-designed rubric comes from this article by Cornell University, which illustrates that rubrics can help instructors “assess assignments consistently from student to student,” and “clarify expectations for both students and course teaching assistants.” Much like the benefits of crafting an effective rubric for human graders, crafting an effective rubric for AI can significantly enhance the consistency and accuracy of grading suggestions delivered by TimelyGrader. 

So how can you optimize your rubric for AI?

🤖 Create detailed descriptions for both criteria and ratings 

One of the most important things that you can do to optimize your rubric for AI is to include detailed descriptions for both the criteria, and each rating associated with them respectively. Creating a criterion that is called “Organization” with no description lacks specificity and doesn’t tell the AI anything about what aspects of the paper’s organization are being evaluated in the context of this specific assignment. 

Example of an ineffective rubric without descriptions

Instead, ensure that you provide a description, for example: “Organization: Demonstrates a clear and logical structure, with a well-defined introduction, body paragraphs, and conclusion.” This will ensure that the AI’s suggestions for this criterion are well aligned with the assignment requirements and learning outcomes. 

Example of an effective rubric with descriptions

📊 Quantify ratings

AI grading suggestions can be made significantly more accurate by quantifying each rating level for any given criterion. Where possible, provide numerical values correlated to different levels of performance. For example, let’s say you have a criterion that assesses a student’s ability to cite sources effectively.

Instead of writing descriptors that are abstract ex. “Excellent: The student consistently and accurately cites relevant sources throughout the assignment, demonstrating a deep understanding of citation conventions and academic integrity,” provide a quantifiable description like “Excellent: 9-10 citations correctly formatted according to either MLA or APA citation style guidelines.”

Example of ratings without quantifiable descriptions

Example of ratings with quantifiable descriptions

💬 Standardize language and format 

Rubrics designed for AI should utilize standardized language and format across all criteria and ratings. This standardization enables the AI system to interpret the rubric efficiently, minimizing ambiguity and enhancing the consistency of grading suggestions.

For example, for the criterion “Organization” inconsistent language like in this example below may confuse the AI’s interpretation of each rating level:

➤ Excellent: The essay demonstrates clear transitions between paragraphs, contributing to a cohesive and structured narrative.

➤ Good: The essay for the most part demonstrates seamless connections between paragraphs, except for a few, but this does not detract from a unified and well-organized storyline.

Example of rating descriptions without standardized language

Instead, maintain consistent language:

➤ Excellent: The essay demonstrates clear transitions between all paragraphs, contributing to a cohesive and structured narrative.

➤ Good: The essay demonstrates clear transitions between most paragraphs, except for a few, but this does not detract from a cohesive and structured narrative.

Example of rating descriptions with standardized language

Adhering to these guidelines will help you successfully create an “analytic” rubric (as described here by Lucas Anderson, University of Illinois) - a rubric where you have set clear expectations for the various levels of success, in this case by creating criteria and rating descriptions that are optimized for AI.

The examples provided here aim to highlight the differences between rubrics designed for AI interpretation and rubrics designed for human interpretation. While both types adhere to fundamental principles of assessment, writing a rubric for AI requires prioritizing precision, standardization, and clear, quantifiable metrics to ensure consistent evaluation. Understanding these differences will help you to make the most of TimelyGrader!

Articles mentioned: 

  1. Cornell University Center for Teaching Innovation. (n.d.). Using Rubrics. Teaching Resources. Cornell University. Retrieved from https://teaching.cornell.edu/teaching-resources/assessment-evaluation/using-rubrics
  2. Lucas Anderson. (2015, June 8). How to Create and Use Rubrics for Formative Assessment and Grading. Center for Innovation in Teaching & Learning. University of Illinois Urbana-Champaign. Retrieved from https://blogs.illinois.edu/view/1499/183698

Check out our other blog articles!

TimelyGrader Logo

Enhancing education with AI-powered grading and feedback.