For example, let’s say that your learning steps are 1m 10m 1d .
When you click Good on a new card or after the 1 minute step, it moves to the next step, and is shown again in 10 minutes.
In the example from the manual, the card goes to the second Learning Steps equal to 10 minutes. You have only one Learning Steps. Therefore, the card completes Learning and becomes a Review card.
If you have 1 learning step – yes, it’s the scheduling algorithm, FSRS.
You can think of the number of learning steps as – how many times you need to grade your answer Good before the algorithm takes over.
There’s no formula for what learning steps or how many learning steps are right for every user. Generally 1 short (5-30m) learning step is enough, but if you feel like an additional step would help you, you can add that. The 1st step will be for when you get a New card wrong – how many minutes you want to wait to try that card again. The 2nd step will be for after you’ve gotten a New card right once, but you aren’t ready to accept it being scheduled for another day yet.
If you’ve got a good amount of review history, you can use a feature in the FSRS Helper add-on that compiles how you’ve done on cards after you grade them the first time – Step Stats. If you’re curious, that’s a good way to see what learning steps might be right for you. https://ankiweb.net/shared/info/759844606#:~:text=Steps%20Stats
Correct. As you can see, that 48m step is probably only helpful if you either have a study session that’s over an hour long, or if you plan to come back later in the day for another study session. You might be able to come up with a better step length yourself by interpreting the table (which is admittedly confusing, but starts to make sense after a while).
You want as much data as possible, so be sure you’re casting a wide net. If you have a lot of small decks, make sure you have the parent deck selected, or set it to “collection” – and choose a long time-period, 1y or deck life.
That is how many cards you have due in the future – not how many reviews you’ve done already.