This week Rachael and Clare explore how NotebookLM can act as a personalised research assistant for teachers. They unpack how it can streamline planning, simplify complex syllabus navigation, and generate study materials from trusted sources. From creating quizzes and summaries to producing podcasts, mind maps, and slide decks, this episode is packed with practical ideas perfect for reducing workload at any time of year.

Key Takeaways

• Notebook LM uses a “walled garden” approach, meaning it only generates responses from the sources you upload
• Teachers can upload syllabus documents, policies, and resources to quickly find and summarise key information
• Built-in tools can generate quizzes, flashcards, mind maps, and study guides in seconds
• Audio overviews allow content to be turned into podcast-style summaries, supporting flexible learning
• Quality of output depends on the quality of sources and prompting
• Particularly powerful for senior students as a study and revision tool
• Encourages AI literacy by citing sources and promoting verification
• Best used to enhance learning, not replace critical thinking or core teaching practices
• Can significantly reduce teacher workload, especially for admin and resource creation

Resources

• NotebookLM
• NotebookLM Help site
• Google Gemini
• ChatGPT
• Australian Framework for Generative Artificial Intelligence in Schools (Australian Government Department of Education)
• Australian Professional Standards for Teachers (AITSL)