返回榜单
Tynker Junior: Coding for Kids

Tynker Junior: Coding for Kids

Tynker

Education免费v4.6.1130
App Store
评分

4.5

4,160 条评分

星级

★★★★☆

最近更新

2026年3月19日

发布日期

2018年12月13日

更新内容

v4.6.1130

General improvements and fixes

应用信息

开发者
Tynker
分类
Education
价格
免费
版本
4.6.1130
App ID
1393933000

简介

The Ultimate Coding Playground for Kids Ages 4-7! Tynker Junior is the award-winning app specifically designed for young learners, including pre-readers who haven’t even started school yet. Through vibrant, word-free picture blocks, your child will learn to solve problems, compose music, and create art—all with the power of code. Why Parents and Teachers Love Tynker: * Trusted Globally: Used by 1 out of every 3 U.S. K-8 schools and 100,000+ schools worldwide. * Proven Success: Over 60 million kids in 150 countries have started their STEM journey with Tynker. * Designed for Little Hands: A tap-based interface with friendly voiceovers and no complex dragging or reading required. 5 EPIC CODING ADVENTURES With 200+ coding challenges, your child will explore: Ocean Odyssey: Master sequencing and patterns while helping Gillie the Goldfish. Robots: Learn about events and parameters as you fix a wacky robot factory. Wild Rumble: Help endangered animals using counting loops and delays. Puffball Panic: Navigate dynamic environments using conditional logic. Super Squad: Defeat villains and retrieve stolen treasure using advanced problem-solving. WHAT YOUR CHILD WILL LEARN Tynker Junior transforms screen time into a brain-building workout. Your child will master: Logic & Sequencing: Understanding cause and effect. Critical Thinking: Solving complex puzzles step-by-step. Programming Concepts: Loops, conditional logic, and debugging. 21st Century Skills: Resilience, focus, and algorithmic thinking—the same foundations used in professional languages like Swift and Python. Privacy & Terms: Privacy Policy: https://www.tynker.com/privacy Terms of Use: https://www.tynker.com/terms/

下载量预测

专业 · 预览

预估总下载量

308K208K594K
保守估计乐观估计

2K

低 / 月

3K

预估 / 月

7K

高 / 月

基于4,160 条评分
假设评分率1.4%
应用年龄90 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。