Kanji Study, JLPT Test: Obodon 4+‎

Name: Kanji Study, JLPT Test: Obodon
Author: ugur yilmaz

ugur yilmaz

مصمم لـ iPad

- مجانًا
- يوفر عمليات الشراء داخل التطبيق

الوصف

Obodon - JLPT Kanji - Learn Japanese, Kanji Quiz, Memorize Kanji, Online Kanji Competition

Academic Bacground!

Unlike other alphabets (hiragana, katakana), Japanese kanji are stored in the right side of the brain, where images and symbols are processed. This means that the stronger the right lobe of your brain is, the more easily you can memorize Japanese kanji.

Obodon helps you develop your right brain, allowing you to learn JLPT kanji more easily and more fun than before.

With separate visuals assigned to each kanji, it will be much easier for you to study/learn them and reinforce the kanji in the tests you take.

You can create separate favorite lists for kanji and words, and reinforce them faster by taking different quizzes from these lists. You can also measure your level by creating a one-on-one online quiz with competitors from around the world.

Obodon is an application that emerged as a result of long tests conducted in an academic study. Tests have shown that people who memorized kanji using the Obodon application were faster and more successful in answering questions than those who tried to type.

Features:
⁃ Kanji categorized by JLPT levels
⁃ Images assigned specifically to each kanji
⁃ Stroke order for each kanji
⁃ Example words of each kanji with high daily usage rate
⁃ Pronunciation and translations of words and example sentences
⁃ Kunyomi and Onyomi
⁃ Advanced favorite system designed separately for kanji and words
⁃ Quiz opportunity with the favorite lists you create
⁃ 4 different Test Models separated by JLPT N5, N4, N3, N2, N1 level
⁃ One-on-one online kanji test competitions around the World with real users
⁃ View your worldwide ranking
⁃ Learning kanji is more fun with the gamified interface
⁃ Many other features that will motivate you

For your questions and comments contact@jlptkanji.com

١٩ سبتمبر ٢٠٢٤

الإصدار 2.0.9

Known errors have been fixed. Optimization work has been done.

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