Measure Outcomes

Generating Rubrics

This video offers a demonstration of generating rubrics using AI. Rubrics are a great assessment tool that can help make explicit an assignment’s goals and expectations, while also helping students understand the key elements of an assignment. To be most effective and beneficial to you and your students in the feedback and grading process, rubrics should align with the assessment learning objectives of a course or assignment. In order to generate a rubric that will be useful to your course context, it is important to specify the course or assignment learning objectives and share as much information about the assignment as possible. It’s also important to provide as much detail about the structure and parameters of the rubric as possible. The sample prompt used in the video is provided below, and can be adapted for each course context.

Prompt: Using the course learning outcomes and assignment description shared previously, create a rubric for a first-year writing course at a university. The rubric should be in table form with the first column being the list of criteria and the first row being a sequence of assessment values reading “Excellent”, “Good,” “Developing”, and “Not Present”. Write a one-sentence description of the quality of each criterion that will be given for that assessment value category. Also note the predicted level of quality that an AI can reach for each criterion.”

Measure Outcomes

Discover ways that AI can help you measure student learning and comprehension.

Interested in using AI to measure learning outcomes?

We invite Columbia University faculty and graduate students to connect with the Center for Teaching and Learning (CTL) team to discuss how AI can be used to measure student learning. Schedule an in-person consultation with our team, visit our open Office Hours, or log in for our virtual chats to explore which approaches align with your teaching goals and how to implement them effectively.