There’s that previous joke that goes, “How do you eat an elephant?” The smart reply is, “One chunk at a time.” The logic works for giant initiatives, massive books, and even studying new expertise. However in terms of YouTube, the concept rapidly falls aside. The platform is just too huge to wade by way of one video at a time. Looking out a subject on YouTube usually returns a whole bunch of explainers, lectures, and tutorials of wildly totally different high quality.
By combining YouTube’s huge information library with NotebookLM’s means to research transcripts, summarize content material, and generate examine materials, you’ll be able to soar from passive watching right into a structured studying workflow. The hot button is to deal with YouTube much less like leisure and extra like a searchable on-line course library.
OS
Android, iOS, Internet-based app
Developer
Pricing mannequin
Free
NotebookLM is Google’s AI-powered analysis pocket book that that reads what you add and helps you remodel it into structured summaries, explanations, and visuals.
Triage movies earlier than you watch them
Let NotebookLM determine the very best movies first
Once I begin studying a subject on YouTube, I often gather 5 to 10 promising movies and add them to a NotebookLM pocket book. NotebookLM can pull within the transcripts and generate brief summaries for each. In a number of seconds, you get a fast sense of which movies are foundational and which repeat the identical concepts. Too many movies and it turns right into a sinkhole. That is why I import YouTube playlists sparingly.
I used to suppose this step was overkill. In any case, it usually feels sooner to easily click on the primary video and begin watching. However that method ceaselessly results in wasted time, particularly when the video seems to be shallow or poorly defined.
I ask NotebookLM to summarize and rank movies from the “most foundational” to “most superior.” The summarizations have been spot on, however NotebookLM would not at all times hit the mark at rating movies. The summarizations assist construct a logical watch order that regularly will increase in complexity. Bear in mind, NotebookLM would not sequentially arrange the sources within the sidebar. So, this logical order with guide renaming within the sidebar is type of a way.
You too can describe your targets, timeframe, and present degree, then ask NotebookLM to supply sources that depends totally on the YouTube movies in your pocket book, supplemented by further sources the place wanted. See the primary screenshot.
Construct a subject map from transcripts
Flip scattered movies right into a studying roadmap
Saikat Basu/MakeUseOf
One other highly effective approach is feeding a number of YouTube explainers into NotebookLM and asking it to extract the important thing ideas. For instance, if I’m studying about geopolitics or expertise design fashions, I’ll import a number of movies and ask NotebookLM to generate a structured define.
Analyze all of the YouTube video transcripts on this pocket book and extract the core concepts they train. Construct a structured information map of the subject utilizing a hierarchical define.
The end result usually appears to be like like a mini information map with main matters on the prime, supporting concepts beneath. It’s basically a thoughts map created from a number of transcripts. The facility of a visible mindmap in NotebookLM is a good way to introduce your self to a brand new subject. Convert NotebookLM reply to a Be aware after which a Supply and generate a thoughts map utilizing the Studio instrument.
Typically I wish to discover freely as an alternative of following a inflexible construction. However this does not take away the serendipitous studying because the define is merely a roadmap, not a restriction. At a look, it reveals precisely which concepts I perceive and which of them nonetheless really feel fuzzy, making it simpler to go looking YouTube for the educational gaps.
Use NotebookLM as a dwell examine companion
Ask for explanations whereas watching
Saikat Basu/MakeUseOf
One among my favourite methods to make use of NotebookLM is to maintain it open beside YouTube whereas watching a lecture or tutorial. Each time a bit turns into complicated, I paste the timestamp or describe the second within the video and ask NotebookLM to clarify that a part of the transcript.
As a substitute of pausing the video and looking out Google, I get a focused rationalization instantly and (if I choose) usually simplified with analogies or examples.
I used to suppose this would possibly interrupt the educational move an excessive amount of. Consistently leaping between YouTube and NotebookLM sounded distracting. In follow, it really works extra like having a personal tutor sitting subsequent to you. NotebookLM can make clear particular moments and even assist you construct a working glossary of recent phrases from the video, so that you don’t lose momentum whereas studying. Save these right into a well-structured NotebookLM observe for reference.
Associated
6 sensible prompts that make NotebookLM far more helpful
You’re lacking out on NotebookLM’s full potential.
Flip your video library into quizzes
Take a look at what you discovered from YouTube
Saikat Basu/MakeUseOf
Watching movies can create the phantasm of understanding. You are feeling such as you discovered one thing, however it’s onerous to know what really caught. That is the place NotebookLM’s glorious Studio instruments turn into a scholar’s studying artillery. After importing a video or playlist, you’ll be able to ask it to generate quizzes and ask it to combine multiple-choice, short-answer, and scenario-based questions.
I initially assumed these quizzes is perhaps too generic to be useful. Automated questions usually really feel shallow or repetitive. Nonetheless, when NotebookLM references particular video sections or timestamps, the quizzes turn into surprisingly efficient.
In case you miss a query, you’ll be able to soar instantly again to the related a part of the video and overview the idea instantly.
Ask NotebookLM to generate tiered query units out of your video transcripts. As an illustration, check primary recall, conceptual understanding, software issues, and open-ended questions.
Create audio overviews for revision
Flip YouTube classes into commuting podcasts
Saikat Basu/MakeUseOf
One of many latest methods I’ve been experimenting with NotebookLM is popping clusters of associated YouTube movies into audio-style summaries. The instrument can generate a conversational podcast masking the most important concepts and debates from a number of transcripts.
That is good for commuting, strolling, or revising a subject away from the display screen. At first, I frightened that summarizing movies this manner would possibly oversimplify the fabric. In any case, a five-minute overview can’t substitute an in depth lecture.
However the summaries work finest as revision instruments, not replacements. In case you are extra of a visible learner, it’s also possible to generate slide-style summaries or brief video overviews and add them again to YouTube for fast cell critiques.
NotebookLM has an Interactive mode. Ask NotebookLM for brief reflection prompts or quiz questions that refer again to particular lecture segments.
Strive constructing your individual YouTube studying system
There are numerous extra methods to mix NotebookLM with YouTube for finding out. The true trick is adapting the workflow to your model and studying how you can determine the very best movies on a subject earlier than you start. Strive constructing a small pocket book round one topic you wish to study this week and experiment with these methods. It is at all times higher to look at every YouTube video at an accelerated pace, after which use NotebookLM for the deep dives. In any case, NotebookLM can miss the speaker’s vibe and make errors even when it depends on the transcripts of YouTube movies you add.
