Improve feedback using generative AI
Both teachers and students can use generative AI to provide feedback to help the student's learning process. Generative AI can offer teachers the opportunity to provide more targeted feedback to students and students to get feedback on their own.
Teacher-generated feedback on student's progress
Getting feedback is vital for students to improve their learning. However, writing feedback is time-consuming and is therefore only done in moderation. Using generative AI, you can give more feedback to each student and give feedback more often without spending extra time. This applies to both pre-made feedback (for quizzes) and feedback on students' submissions.
AI-created, teacher-reviewed feedback
A quick way to create feedback is to let a generative AI application analyse and suggest feedback to student submissions or answer options in a quiz. You take the suggested feedback, proofread it and either approve or change it before sending to your students or adding it to a quiz. This method is time-efficient but might create less specific feedback as the AI lacks your expertise. You can also instruct the students how to do this themselves.
Teacher-created, AI-expanded feedback
You can create feedback in the way you normally do but only write down the main ideas of your feedback in short sentences and keywords. Then you let the generative AI expand upon that to create detailed feedback that is easier to understand. This method combines your expertise on the subject with the AI's efficiency in writing longer texts. Still, it scales less well than the method “AI-created, teacher-reviewed feedback”.
Student generated feedback
Students can of course use generative AI themselves to get feedback on their work as they are working with it. This will help them increase the quality of their work before you as a teacher see it, so you can focus your energy on more advanced feedback.
Make sure to inform your students of the limitations of generative AI and to help them use generative AI efficiently and ethically .
As your students will become well-versed in using generative AI, we recommend you consider how you can prevent and discourage prohibited use of generative AI .
Use cases
In the following list we present suggestions for use cases of student-generated feedback. Feel free to adapt, add or remove any one of them in order to make them work for your specific course.
Students can ask generative AI to:
- proofread written material
- suggestion improvements to their language (especially useful for those new to academic language
- find and explain faulty logic or mathematics
- perform code review on their code and check for inconsistencies or flaws
- help them keep to avoiding tangents in their texts
- check that programs they have written are producing the expected outcomes.
Further reading
The potential of artificial intelligence in assessment feedback (timeshighereducation.com) .