Students do not always ask aloud
Silence can hide confusion, hesitation, or fear of public exposure.
Real-time class Questions
Turn your materials into a tutor that only cites what you validate.
Questions is a NotebookLM governed by the institution: students ask by chat or voice, get answers grounded in your materials with citations, and you get a weekly report of their doubts.
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Silence can hide confusion, hesitation, or fear of public exposure.
Aggregate patterns show which concepts deserve another pass in class.
Responses stay connected to professor-validated materials and course context.
Your materials become clear knowledge points the AI uses to answer student questions.
Students engage with the content in real time or asynchronously, by chat or voice.
See the topics that generate the most questions and where the class needs support.
The AI answers only with the materials the teacher validates. It cites the page and slide. If it's not in the syllabus, it doesn't make it up.
We turn private interactions into pedagogical analytics: which topics confuse, which slides fail, who contributes what.
European cloud, GDPR by contract, guaranteed no-training. The institution owns the intelligence it generates.
Dialogia is designed around governed AI use: professor-defined materials and rules, anonymous participation, and privacy-aware records that support learning rather than surveillance. In Questions, anonymity is a deliberate pedagogical feature.
Yes — students ask without identifying themselves. The class code your professor shares identifies the course, not the student. Teachers see aggregate question patterns, not individual identities.
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