Programming courses for children and teenagers

Learning programming can help children develop logical thinking and problem-solving skills, and improve creativity and imagination. In the future, programming will be an indispensable skill. By learning programming, children can better understand and cope with the rapidly developing digital world, and prepare for future study, work and life. In addition, the process of programming learning is also a process of self-exploration and discovery of interests and potential, which is conducive to the overall development of children.

• Starting from the age of 6-7, children can be exposed to programming education and learn basic concepts and logical thinking of programming through programming tools such as Scratch. Children of this age are very interested in new things, so it is a good time to cultivate their interest in programming.
• 7-9 years old is the best period for children to learn programming. At this stage, children's logical thinking develops rapidly and they can begin to learn programming systematically, but they should still focus on interest and do not place too much emphasis on programming skills themselves.
• Before the age of 9-10, children can develop computational thinking through visual programming tools such as Makecode. Starting from the 3rd to 4th grade of primary school, children can learn some entry-level Python programming and robotics.
• 10-14 years old is the best time to learn more professional programming languages such as Python. Children at this stage already have a certain foundation in mathematics and logic and can learn more complex programming concepts.

Learning programming does not require children to have any programming foundation, nor does it require children to master computer knowledge first. Our courses start from the very basics and are suitable for children with zero foundation in programming. For children of different ages, we provide a curriculum system with progressive difficulty. From graphical programming to text programming, from pure software programming to hardware-integrated programming, children can gradually improve their programming skills according to their own interests and abilities.

Our coding courses are suitable for children in elementary school through high school. We have designed different courses for different age groups. For example, lower primary school students are suitable for learning Scratch graphical programming, upper primary school students can try Python programming, and middle school students can learn courses related to artificial intelligence and machine learning. Children of different ages have different focus and depth of learning. But no matter what age, we strive to make children fall in love with programming and enjoy the fun of creation in a lively and interesting way.

Children in primary school are very suitable to start getting exposed to STEM education. Here are some relevant reasons and research findings:

1. Cultivate curiosity and problem-solving abilities: STEM education can stimulate children's curiosity and cultivate their problem-solving abilities and creativity. Through STEM education, children can learn to observe, predict, experiment and collect data, thereby cultivating their scientific thinking and problem-solving skills.

2. Build foundational knowledge and skills: Early STEM education provides children with the foundation for learning science, technology, engineering and mathematics. These foundational knowledge and skills will help them succeed in more in-depth STEM studies in the future.

3. Cultivate interdisciplinary abilities: STEM education is not just about teaching science and mathematics, it can also help children develop interdisciplinary abilities, such as critical thinking, collaboration and communication skills. These abilities are important for children to succeed in school and in their careers.

4. Cultivate future employment needs: The demand for employment in STEM fields continues to increase, and cultivating children's STEM abilities can lay the foundation for their future career development.

Our courses are divided into three levels: beginner, intermediate and advanced. Junior courses do not require a programming foundation and are suitable for beginners, such as Scratch graphical programming; intermediate courses require a certain foundation of programming concepts and can learn text programming such as Python; advanced courses require strong programming skills and learning cutting-edge technologies such as artificial intelligence. The three levels of courses are progressive with increasing difficulty. Children can choose appropriate course paths based on their interests and abilities and gradually improve.

We have carefully designed gamification and project-based teaching content to integrate programming knowledge into interesting tasks and creations to mobilize children's enthusiasm for learning. In terms of difficulty, our courses are progressive, from graphical programming to text programming languages such as Python, to cutting-edge technologies such as artificial intelligence, and are suitable for children with different backgrounds. Each child's learning rhythm is also different. Our teachers will provide guidance and encouragement according to the child's situation to help them overcome difficulties and maintain their interest in learning.

Vinci AI's courses focus on artificial intelligence education and provide comprehensive AI-related courses, including Chatbot design, AI art creation, AI music creation, drone AI, autonomous driving AI, etc. The course covers the application of AI technology in different fields, taking into account theoretical learning and practical creation.

In addition, Vinci AI courses also incorporate hardware devices such as Lego, Huskylens, Jetbot, etc., allowing students to practice AI knowledge. The combination of software and hardware is a major feature of Vinci AI courses.

Vinci AI also pays attention to the cultivation of students' computational thinking and innovation ability. The course format includes project-based learning, VR/AR experience, etc., and strives to be lively and interesting to mobilize students' enthusiasm for learning.

Vinci AI has a strong teaching team. Most of the tutors graduated from STEM-related majors from well-known universities and have solid professional backgrounds. They include doctoral-level and university lecturer-level artificial intelligence education experts, and have experience in teaching AI courses for master's students.

In addition, Vinci AI’s main instructors also have solid backgrounds:

• All graduated from STEM or education majors from famous universities such as the National University of Singapore and the Chinese University of Hong Kong.
• At least 2-3 years of STEM teaching experience
• Meet teacher qualification requirements