Student feedback made smart
Hubert.ai takes student evaluations to the next level
Meet Hubert, a chatbot for teachers
Here's how he will help you
Upload your students' email addresses and press 'Send'.
Hubert chats with students
Hubert contacts every student individually through digital platforms.
Hubert analyses conversations
Hubert uses AI and machine learning to interpret the feedback.
You receive feedback
The results arrive in your inbox, complete with a compiled highlight summary.
Best of all - Hubert Beta is completely free of charge!
Create an account now and have your next course evaluation out in minutes
From surveys to conversations
Almost a hundred years have passed since student evaluations of teaching first emerged. Other than moving from paper surveys to online quivalents, there hasn't been much change.
Engaging students in conversations rather than asking them to fill out forms is both natural and more fun. That means higher response rates and more qualitative data from your students.
Your data is automatically collected, analyzed and compiled to a few highlighted points that most students agree upon.
After you click ‘Send’ Hubert takes care of the rest. Students are engaged in a brief chat-session where valuable feedback to the teacher is obtained.
To both Hubert and us, student anonymity is vital. We want your students to be open and feel safe, and at the same time always offer you good and factual feedback. We make sure Hubert filters the results so that they are healthy and usable.
THE PERFECT TEACHING TOOL
"Using Hubert gives you the very best of two worlds; The scalability and user-friendliness of a quantitative research method, with the nuance and insightfulness of a qualitative one."
Features coming up
Feedback is crucial for a focused development and we want to remove as many hurdles as possible to receive and act upon it. Here's what we're working on right now:
MORE TYPES OF EVALUATIONS
Hubert will soon take care of all your feedback needs, from end-course evaluations to class-specific feedback that can be tracked over time.
BEST TEACHING PRACTICES
Wouldn't it be great if evaluation results came with recommendations on best teaching practices, tips on pedagogic approaces, and brainy blackboard examples? Yes, we think so too. That's why Hubert is currently collecting data about teaching tactics, and soon he'll be ready to provide even more substantial insights.
BIAS COMPENSATION ALGORITHMS
Keeping track of student interests, previously taken classes, current class size, and other factors allows Hubert to compensate for certain biases like gender bias, interest bias, and class size bias.