TA-Help.me was founded at the University of Twente to keep teaching structured and efficient, even at scale. No matter if your class is small, or consists of hundreds of students, TA-Help.me helps maintain the order of student questions, routes them to the right teacher and saves time answering questions.
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In large lecture halls and busy tutorial sessions, it’s easy to lose track of who asked what and when. TA-Help.me helps to maintain a clear, real-time overview of the sequence of questions. By preserving the exact order of student input, it ensures fair and structured interaction.
Teachers and student assistants each have specific areas of expertise, managing questions efficiently can be challenging. TA-Help.me allows you to create separate rooms and lists for different types of questions, ensuring that each student is directed to the right person to answer their question. This results in faster support, clearer organization, and more efficient tutorials.
At the University of Twente, TA-Help.me helps make teaching more efficient and scalable. The tool is fully integrated into Canvas, allowing students to submit questions without interrupting the lecture. Lecturers and teaching assistants then collaborate within a single overview to handle questions quickly and in a structured way. Multiple staff members can respond simultaneously within the same session, which speeds up response times and distributes workload more evenly. Thanks to its broad applicability, the tool is used across a wide range of courses and teaching formats, from technical subjects to project-based education.
TA-Help.me helps you revisit previous course iterations to see exactly what questions students asked. By analyzing recurring themes and gaps, you can quickly identify where your teaching materials may fall short. This insight allows you to refine lectures and tutorials year over year, improving course quality continuously.
| Times asked | Question |
|---|---|
| 12 | Will the exam include derivations from lecture 5? |
| 9 | Can you explain supervised vs unsupervised learning? |
| 7 | Is Bayesian inference required for the exam? |
| 6 | How does this algorithm scale with large datasets? |
| 5 | Could you provide an additional example of applying this concept in real-world systems? |