Maximazing student feedback
How Tilburg University Improves Course Quality and Wellbeing through Check-ins and AI
Feedback quality, rate and use
StudentPulse and Tilburg University are collaborating to improve student feedback and course quality through the use of check-ins and artificial intelligence.
StudentPulse is a company that specializes in using check-ins to gather feedback from students about their courses. In an upcoming project with Tilburg University, StudentPulse will be using check-ins to not only increase course quality, but also to improve student wellbeing. The main goals of this project are to increase response rates, engage teachers, and improve course quality ratings. Unlike previous projects, this one will not use incentives to encourage student participation.
To increase response rates, course coordinators will remind students about the check-ins in class and through the canvas. StudentPulse is making the check-in short and easy to complete and using a variety of communication channels to reach students. These efforts are expected to result in a significant increase in response rates, from an average of 10% in previous years to over 60% in the upcoming semester.
To engage teachers and improve course quality, StudentPulse will analyze the feedback it has received from students using artificial intelligence (AI) and highlight the responses that are most relevant for improvement. This will help to ensure that teachers are able to easily understand and act on the feedback, leading to a higher level of engagement and a greater willingness to use the feedback to make improvements to their courses. In addition, the check-ins will include questions related to student wellbeing, allowing StudentPulse and Tilburg University to gather valuable insights on this important aspect of the student experience.
It is expected that the efforts of StudentPulse and Tilburg University to improve course quality and student well-being through the use of check-ins will be successful. In the upcoming semester, the final course evaluation check-in is expected to show improvement in course quality ratings compared to previous years. This is likely to be due to the high response rate, which will allow for a more representative sample of student opinions, as well as the engagement of teachers, who will be able to use the feedback to make meaningful changes to their courses. The inclusion of questions related to student well-being will also provide valuable insights that can be used to improve the student experience.
Overall, the upcoming project between StudentPulse and Tilburg University is expected to be successful in improving course quality and student well-being through the use of check-ins and AI. By gathering and analyzing student feedback, StudentPulse will be able to increase response rates and engage teachers in a way that leads to improved course quality ratings. This case study will demonstrate the effectiveness of using check-ins and AI to gather and use student feedback to improve course quality and student well-being, even without the use of incentives.
Student Experience Director, StudentPulse
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