Teaching Agent
The copilot for your course.
The Teaching Agent supports educators in preparing, delivering, and reviewing their teaching. It knows the approved course content and turns aggregated learning signals from exercises, tutor conversations, and usage into a clear picture.
Teaching Agent
One dialogue for preparation, overview, and next steps.
Ask instead of digging through dashboards
Ask in plain language where the course stands, which exercises are causing trouble, or which topics deserve a review session.
Prepare content in dialogue
Create exercises, explanations, and follow-ups from the approved materials. The course context stays intact, and educators review every result before it goes live.
Explain the conditions under which private bargaining resolves an externality efficiently.
Chapter 4 · pp. 42-49Exercise editor
Question
When does private bargaining ...
Model answer
From signal to the next teaching decision
The Teaching Agent connects frequent questions, exercise results, and learning activity into a clear summary with concrete next steps.
Closer look
A dialogue with the full course context.
Preparation with the right sources
The Teaching Agent works with the content approved for the course. Educators can have a topic explained, prepare exercises for a specific learning objective, or rework a difficult passage in several variants. Every suggestion can be reviewed and edited before learners see it.
Insights from learning as it happens
Instead of finding out after the exam what was unclear, educators can ask during the course. The Teaching Agent bundles aggregated signals from tutor questions, completed exercises, learning progress, and usage. It shows patterns, not private individual histories, and turns them into a manageable basis for the next session.
One connected system
Related features
Who it serves
Who it's for
Your content. Your data. Your control.
acemate runs exclusively in EU data centers, complies with the GDPR and never uses your content to train AI models.
More on security & privacyFrequently asked questions
The AI tutor accompanies learners as they understand and practice. The Teaching Agent is built for educators. It helps prepare content and make sense of the course's aggregated learning signals.
It draws on the approved course content and aggregated signals from how the course is used, such as frequent topics in tutor conversations, results of shared exercises, and learning progress. The exact data basis depends on the features you activate.
No. The Teaching Agent presents patterns and topics in aggregated form. Access to private individual conversations is deliberately not part of the product.
It prepares suggestions. Educators review and edit them before anything becomes visible in the course.
No. It makes patterns visible and suggests next steps. The educator decides what fits the course, both in substance and didactically.
Preparing content from course materials works regardless of group size. Aggregated analyses need enough activity and participants so that patterns are reliable and privacy stays protected.
Ask your course.
See how the Teaching Agent turns content and learning signals into concrete next steps for your teaching.