번뜩영어 1.0 Apk

English words (basic, general, TOEIC TOEIC approximately 6,000)
It is an application that trains you to think in 1 second upon hearing.
 
English is composed of the following steps to achieve the goal
The learning order is automatically assigned based on the Ebbinghouse forgetting curve, game theory, artificial intelligence customized learning, etc.

=== Learning steps ===
When learning begins, a native speaker's voice and pronunciation engine animation is presented for each word.
After seeing and hearing well, think about the word you know
Selectively check the spelling and meaning and proceed with learning.
If re-learning is required, you can override it during learning or on the results screen.

=== T-evaluation stage ===
Make sure you are familiar with the meaning of the completed words.
The wrong word is returned to the learning subject in the learning stage.
 
=== S-evaluation stage ===
Listening wits are evaluated for words that have been completed up to the T-assessment.
This evaluation was conducted three times,
The second one day after the first evaluation,
The third will take place 3 days after the second evaluation.
This is based on the well-known Ebbinghaus forgetting curve theory.
The wrong word goes back to the previous step.

=== Challenge level ===
1 second-instantaneous-evaluation is performed on random words.
Words can be words you have already learned,
It may be a word that has never been learned.
At least one challenge step is automatically recommended daily.
Words that fail the challenge are immediately subject to the learning stage,
If you don't meet the challenge, you don't have to worry.
Originally, words in the learning stage are randomly selected from words that have not been learned.
The wrong words in the challenge have the effect of being more imprinted on learning.

To know the words you don't know anyway
Learning is a challenge, so failing a challenge can be natural.
The more you learn, the more words you know in the challenge.
In addition, the success rate of the challenge naturally increases.

* This development was supported by Hallym University's inter-students (Hwang Chan-Woo, Shim Su-Bin, Kim Jin-A, Song Young-Dong).