gb   Royaume-Uni

Developing a new learning/acquisition strategy for LingQ

March 02 à 15:29

Hello all,

Recently I have come up with a new method of aquirinng and learning content here on LingQ. The idea is a simple 5-stage process which is applied to each page within any lesson. Currently I have tried this with a few shorter lessons and think this may be beneficial for all-round comprehension and understanding.

This is the method;


0.a. Load up the lesson I want to do

0.b. Create a tab page for DeepL (also any other tools you may use; Reverso, Word reference etc.)

0.c. Copy the entirety of the lesson text into DeepL and translate into SL. (Keep in a separate tab or browser)

0.d. Set the lesson to 0.75x speed.

The Method.

Per individual page I do the following one at a time in order then repeat for each subsequent page of content;

1. Listen (at .75x speed)

2. Read (whilst adding lingQ's)

3. Read translation of text (on DeepL)

4. Read and listen together (at .75x speed)

5. Listen (at normal speed)

NOTE; I like to keep track of what point I started and stopped from; both in text and audio. For each page, I like to quickly glance at the last few words of the page to cue the end of that page when I listen.

The ideas/reasons behind this + feedback

I suppose after several months of trying various aspects of the list above it feels important now to format those methods in a more progressive and structured way. I've tried to take all the elements of things people do, i.e. listen, read, listen and read together, translate and apply those ideas sequentially in the most logical fashion, always starting and ending with listening. The one page at a time also feels right as I think this gives the brain a chance to absorb the information more thoroughly, allowing it to interlink information together piece by piece from the different types of input i.e. audible, visual, comparative reading, as opposed to trying the whole lesson in one go in one way.

This is the current strategy, and like I've said before, will probably change again at some point in the future.

Any ideas towards this, or how could this be improved/altered?


P.S. Thanks peter for recommending DeepL


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