In a higher education course where students work with complex subject material over time, the instructor introduces ChatTutor as part of the course and encourages students to use it as ongoing support. Course materials such as notes and articles are uploaded to the platform, allowing ChatTutor to provide answers grounded in the specific content of the course.

Students use ChatTutor continuously in their work, asking both basic and more open-ended questions. Because the answers are anchored in the course material, they remain closely aligned with what is taught in class.

At the same time, ChatTutor's analytics provide the instructor with insight into how students engage with the material. By observing patterns in student questions, the instructor can identify recurring misunderstandings or gaps in prior knowledge.

These insights are then brought back into the classroom. For example, the instructor may address a common misunderstanding in the next lecture or adjust exercises to target specific areas of difficulty.

For students, this means access to precise, context-specific answers directly linked to their course, as well as ongoing support in their learning process, also outside of class. Over time, this creates a feedback loop between student activity and teaching, where emerging misunderstandings can be addressed as part of the course.

The case illustrates that ChatTutor does not only function as an answer tool, but as a way to make student understanding visible and to work with it over time. Rather than focusing on individual answers, the instructor can work with patterns in learning and misunderstanding across the group.

This approach can be applied across subjects and levels, particularly in courses where students work with complex material and benefit from continuous, targeted feedback.