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Your professor has set up a Courser chatbot trained on the lecture videos for your course. You can ask it questions at any time — no account or login required. Just open the link your professor shared and start typing.

Getting started

1

Open the chatbot link

Your professor will share a public URL for the chatbot — typically posted on Canvas, Blackboard, or your course website. Click the link to open the chat interface in your browser.
You do not need to create an account. The chatbot is publicly accessible to anyone with the link.
2

Type your question

Enter your question in the text field at the bottom of the chat window and press Enter or click the send button.The chatbot searches the lecture transcripts for the most relevant content and generates a response using that material.
3

Review the answer and citations

Your answer will appear in the chat along with up to three source citations. Each citation links directly to the moment in the lecture video where the information comes from. See Understanding citations for more detail.
4

Ask follow-up questions

The chatbot remembers your conversation within the current session. You can ask follow-up questions without repeating context — for example, “Can you explain that in simpler terms?” or “What comes after that?”

What the chatbot knows

The chatbot only knows what is in the lecture videos your professor uploaded. It cannot answer questions about:
  • Topics not covered in the course lectures
  • Readings, slides, or assignments that were not added as video sources
  • General knowledge outside the uploaded content
If you ask about something not covered in the lectures, the chatbot may say it doesn’t have enough information, or it may give an incomplete answer. Always verify important information against your course materials.

Tips for effective questions

The quality of your questions directly affects the quality of the answers you get. The chatbot uses semantic search to find relevant lecture segments, so specific questions return more targeted results.
Vague questions cast a wide net and may surface less relevant content. Narrow your question to the concept you’re actually trying to understand.
VagueSpecific
”Explain sorting""What is the time complexity of merge sort?"
"Tell me about cells""How does the mitochondria produce ATP?"
"What did the lecture say?""What are the three types of market failure discussed in lecture 4?”
If your professor uploaded lecture videos covering specific topics, those are the best subjects to ask about. The chatbot will have strong coverage of anything your professor explained on camera.If you’re not sure whether something was covered, ask directly: “Was the traveling salesman problem covered in the lectures?”
The chatbot maintains conversation context throughout your session. After an initial answer, you can ask follow-up questions without restating the topic:
  • “Can you give me an example of that?”
  • “What’s the difference between that and [related concept]?”
  • “Which lecture does that come from?”
If an answer is unclear, ask the chatbot to rephrase or illustrate it:
  • “Can you explain that more simply?”
  • “Give me a concrete example.”
  • “What does [term] mean in this context?”

Understanding your answer

Each response includes the answer text and a list of citations showing which lecture segments were used to generate it. The citations include the video title and a timestamped link that opens the lecture at the exact moment where the information appears.

Understanding citations

Learn how source citations work and how to use them to verify and explore answers

For professors

See how professors build and configure course chatbots

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