AI learning workflow

AI Course Timeline

Let students see the whole lesson path without scrubbing through a long recording.

A course timeline separates the recording into searchable sections with topics, summaries, and review actions.

Create a course timeline with NotebookLM

1. Upload the transcript

Add the transcript generated by Smartape recording system, Montage Recorder, or SRT subtitle generator to a new NotebookLM notebook.

2. Ask for a time-coded timeline

Request a timeline that divides the lesson into clear sections.

Prompt
Create a course timeline from this transcript. Divide the lesson into clear time-coded sections. For each section, include the start time, topic title, one or two sentence summary, key terms, and a suggested review action.

3. Check the flow

Confirm that the sections follow the actual lesson sequence and that time references are useful for review.

Create a course timeline with ChatGPT

1. Provide the transcript

Paste the transcript or upload it as a file, keeping time codes if available.

2. Generate the timeline

Ask ChatGPT to create a concise, student-friendly timeline.

Prompt
Turn this transcript into a course timeline. Keep the original sequence, group related topics, include time-code anchors when available, and add one review action for each section.

3. Adjust the level of detail

Ask for a shorter version for quick review or a detailed version for after-class study.

Use AI output as a draft. Before sharing it with students, check names, numbers, technical terms, and any details that may affect assessment or compliance.
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