About
This educational app helps young children learn about various vegetables through interactive games and engaging visuals. It combines learning with play, featuring animated lessons and quizzes to test comprehension. Designed for early learners, it makes discovering the world of vegetables a fun and memorable experience.
What's New in Marbel Sayur
1.0
February 4, 2015
App ini telah diperbarui oleh Apple agar menampilkan ikon app Apple Watch.
Developer apps
FAQ
What vegetables can children learn with Marbel Sayur?
Marbel Sayur helps children learn about 19 different types of vegetables found around us. The app presents these vegetables through engaging visuals and interactive modes.
What age range is Marbel Sayur designed for?
Marbel Sayur is specifically designed for children aged 2 to 8 years old. The content and gameplay are tailored to be appropriate and engaging for this age group.
Does Marbel Sayur offer offline play?
The provided data does not specify whether Marbel Sayur offers offline play. However, many educational apps in this category are designed to be accessible without an internet connection.
How does Marbel Sayur make learning fun?
Marbel Sayur combines learning with play, using attractive images, animations, and original music. It also includes audio narration to assist children who are not yet fluent readers.
What types of educational games are included in Marbel Sayur?
Marbel Sayur features five engaging educational games: cooking, speed matching, picture guessing, dexterity challenges, and letter arrangement. These games help test and reinforce what children have learned.
Is Marbel Sayur available on multiple devices?
Yes, Marbel Sayur is supported on iPhone, iPad, and iPod. This allows children to learn on various Apple devices.
How often is Marbel Sayur updated?
The last update for Marbel Sayur was on February 4, 2015, with version 1.0. This indicates that the app has not received recent updates.
What is the user rating for Marbel Sayur?
Marbel Sayur has a rating of 2.0 stars from 1 rating. This suggests a low user satisfaction based on the available review data.