AI Course Text Generation and Optimization
Use AI to turn class video subtitles into polished course text: remove noise, add punctuation, reorganize chapters and sections, and keep timestamps as return anchors when needed. Students can read by chapter, skim quickly, annotate immediately, and return to weak sections in the original video. Teachers get a consistent authoritative text across classes, making it easier to assign readings, connect quizzes and homework, update materials, and see where students are struggling from paragraph questions and incorrect-answer patterns. The cycle of lecture, text, assessment, replay, and improvement becomes easier to track.
The workflow below uses ChatGPT and NotebookLM to generate and optimize course text. You can adjust the suggested prompts and steps to match your own teaching materials.
Generate Course Text with NotebookLM
1. Add a Source File (Subtitles)
Create a notebook in NotebookLM, then use Add source to upload the transcript file generated by Smartape lecture recording software , Montage editing software , or iFS upload software .
2. Generate and Rewrite in One Flow
After the source is added, use the Notebook Guide or Studio panel to create an Outline / Overview / Briefing Doc as the initial structure. Then enter the prompt below to rewrite the material into a formal handout:
Generate a polished course text directly and organize it by topic.3. Review, Refine, and Save
After AI responds, copy the text into your lesson plan or document system (Word or Google Docs), refine paragraphs and heading levels, and use it as post-class study material.
Generate and Optimize Course Text with ChatGPT
1. Upload Subtitles
Upload a subtitle file with complete timestamps (.srt) generated by Smartape lecture recording software , Montage editing software , or iFS upload software .
2. Enter the Prompt
Use the prompt below to ask the model to rewrite subtitles into a formal, well-structured course text with chapter titles and paragraphs.
Rewrite the following subtitle transcript into course text suitable for students to read after class. Requirements: 1) Clean the content: remove timestamps, sequence numbers, filler words such as "um", "ah", and "you know", repeated wording, and noise; 2) Restructure the content: organize it as chapters, sections, and paragraphs; add a one-line introduction before each chapter; keep each paragraph to 3-5 sentences; 3) Polish the wording: use formal written language, add punctuation and transitions, avoid spoken filler, and do not add facts that do not appear in the transcript; 4) Chapter titles: use clear English headings with H2/H3 labels where appropriate; preserve key terms and examples when needed; 5) Output only the final course text, with no extra explanation. [Subtitles begin] (paste the full subtitles here) [Subtitles end]3. Handling Long Transcripts (Optional)
If the transcript is too long, paste it in sections and use "continue from the previous section" to merge the result. You can also ask the model to output a chapter outline first, confirm the structure, then generate each chapter.
4. Review, Refine, and Save
After AI responds, copy the text into your lesson plan or document system (Word or Google Docs), refine paragraphs and heading levels, and use it as post-class study material. When needed, add follow-up requirements such as a more conversational tone, a more academic tone, or 3-5 sentences per paragraph.
Note
The AI prompt guidance on this page is provided for reference and learning only. Because AI technology changes quickly, some content may differ from the latest model versions or features.
Disclaimer
- We do not guarantee that the content on this page is always the latest, complete, or fully accurate.
- Users should evaluate and test prompt results themselves, then adjust them based on actual needs.
- We are not responsible for any action taken based on this page or its consequences, including but not limited to data accuracy, applicability, or any direct or indirect loss.