Formative Assessment

As explored in the Using AI to Enhance Student Learning chapter, AI tools can be used by students as a means to get formative feedback on draft work—for example, by uploading a draft to an AI tool and asking for a targeted list of suggestions for improvement, or by engaging in a practice quiz activity with an AI tool. When institutional and departmental policies allow, instructional staff may wish to try in-class or homework activities in which students engage with AI tools in order to get formative feedback. Prior to such activities, students need to be informed about potential for errors, privacy concerns, and institutional policies surrounding the sharing of course materials.

Some institutions, like McMaster University, are allowing and encouraging instructors to also use AI tools to produce formative feedback on student work, providing that students are informed in the course outline and in class, and data collection is turned off.^[1] Instructional staff who wish to use AI tools to produce formative feedback for their courses should ensure that institutional policies around use of AI tools and sharing of student information are followed.

Some potential applications for AI-based formative feedback are:

• submitting written work and a rubric or learning outcomes and asking for suggestions for improvement;
• analyzing a transcript of an online meeting and asking AI to generate individualized engagement feedback;^[2]
• having an AI tool analyze student-produced code and offer suggestions.

Summative Assessment

Instructional staff may be hesitant or unable to use AI tools as part of summative assessment grading and feedback. This may be due to a a lack of institutional approval, worries about accuracy and bias in AI output, reputation and credibility concerns, and privacy issues. One 2024 survey of academics indicated enthusiasm over using AI tools to grade work that has simple correct and incorrect answers, but skepticism about the ability of AI tools to grade work involving creativity and critical thinking.^[3] Even if institutional policy allowed AI-based grading, instructors would need to carefully consider whether or not to rely on AI tools for this important part of their work, considering the potential impacts that it could have on privacy, accuracy, fairness, and their understanding of students’ achievement levels.

AI tools can assist in drafting summative assessment feedback. One way to improve efficiency is for the grader to take notes in their preferred style while reviewing student work, then have an AI tool turn it into a cohesive paragraph or set of bullet points.^[4] Voice-to-text tools like AudioPen can also be used to save time while drafting feedback.

AI tools can also review a document containing every student’s individual feedback on an assignment and search it for trends, suggesting areas for further skill development or drafting an email to the class. Click the image below for an example of how ChatGPT responded to a request for feedback analysis.

Alternative Forms of Feedback

Instructors may find that some students check their grades but don’t fully evaluate written feedback. AI tools can be used to increase student engagement with written feedback by providing a creative alternative that supplements written feedback. University of Leeds Professor Chrissi Nerantzi and colleagues suggest using AI tools to convert instructor feedback to poetry in order to increase student interest.^[5] Other options could include song lyrics, a story, or a monologue in a particular style. Since many students prefer feedback in plain language, this should be offered only as an optional supplement to plain language feedback, not a substitute.