The Ultimate Guide for Artificial Intelligence (AI) for Kids

AI for kids

Artificial Intelligence (AI) has become an increasingly popular topic as its applications become prevalent in our daily life. So what is Artificial Intelligence? And can children learn it? Want to know the best place for learning AI? Preface coding has prepared an ultimate guide for all the information you need about AI!


What Is A.I.?

AI or Artificial Intelligence may instantly call to mind images of science fiction, but the subject holds increasing prevalence and impact in our daily life. We are here to help demystify the topic and to discuss its value in young children’s education!

AI can be simply understood as the ability of computers and machines to perform tasks that typically require human intelligence, such as perception, learning, problem-solving, and decision-making. Using large amounts of data input, AI algorithms are continuously trained to identify patterns, make predictions, and recommend actions.

Remember the last time you interacted with an online customer support chatbot or when Netflix recommended what to watch next? Little did you know, that is all AI in the working!


Why Should Children Learn A.I.?

A boy learning basic concept around of Robotics.

According to UNICEF, AI’s greatest impact will most likely be on children. On one hand, as is the case with other in-demand tech skills like data science, there is a pragmatic reason for learning. In a rapidly transforming and tech-driven world, equipping kids with AI knowledge and skills will help ensure their employability and career potential in the future.

On the other hand, teaching AI to youngsters is also critical because, even without knowing it, it is already a constant presence in their day-to-day. From video games to the virtual assistants with which kids interact at home, they are frequently exposed to AI-powered technologies and devices. This can impact children’s fundamental understanding of what intelligence is. Based on their interactions with AI, it is a common tendency for young children to overestimate what AI can achieve. Therefore, teaching AI – its principles, applications, and even limitations – at an early age is a great way to kickstart critical thinking, preparing kids to become smart consumers of technology.

Further Reading: 

Programming for Kids

 “STEM for Kids

What Is the Best Age for A.I.?

There isn’t a thing that cannot be learned. It is believed that it is true even for learners as young as 3-years old who could be fit to start exploring AI in a simple and foundational manner. After all, kids are rapid and curious learners. With the right approach and resources, learning AI can be a very fun and rewarding educational experience for children of all ages.

How Can My Children Start Learning A.I.?

You might be wondering how your kids’ can start learning A.I. as it seems a ‘far away concept. But in reality, for kids in this generation, Kids are surrounded by AI. They should know how it works than we do.

Further Reading: 

Coding Class for Kids

1. For Younger Kids Below 9

A little girl learning ScratchJR with her iPad.

For younger kids below 9 years old, handcrafting is recommended to be the most efficacious tool at the beginning A.I. learning stage. Jason Boog, a journalist, and author at ‘towards data science’ recommended that handcrafting small A.I. books with kids helped his family to learn A.I. with their 4 years old son. The handcrafting process can be as simple as:

Letting kids draw out some basic A.I. concept, or use A.I. stories writing tools (like the Text Generation API tool), and encourage your kid to draw the story out.

Read more: https://towardsdatascience.com/helping-kids-play-with-artificial-intelligence-68af8f8ba280

 

2. For Kids Aged 9-14

A teen learning Python with her laptop.

According to an A.I. program developed by Blakeley Payne, a graduate research assistant at the MIT Media Lab, for kids aged 9-14, interactive activities that help students discover how algorithms are the most important element. Activities suggested included “prototyping with pen and paper” and games like “Bingo” with cards, which empower kids to learn A.I. while building and playing.

As Blakeley has open-sourced the curriculum, you can have a look at it and take it as a reference at her teaching guides for effective Kids A.I. learning keys:

https://docs.google.com/document/d/1e9wx9oBg7CR0s5O7YnYHVmX7H7pnITfoDxNdrSGkp60/edit#

Of course, online resources and classes are always the best channels for learning. Thus, in the upcoming paragraphs, we have shortlisted some quality resources for your convenience!

 

Best Online Resources for AI and Machine Learning

A teen learning online and jotting notes.


1. YouTube

No matter the subject, YouTube is always a great and easy go-to for all types of knowledge. AI is no exception. Start with a simple ‘AI for kids’ search and you will have instant access to many easy-to-understand and engaging videos. Get a taster with this Crash Course Artificial Intelligence series and explore from there! Over time as you search for more AI-related videos, YouTube will begin to suggest similar content. And how does it do that? With AI of course!


2. Machine Learning for Kids

Machine Learning for Kids is a user-friendly online platform that offers children fun hands-on machine learning experiences. Through step-by-step guidance, young innovators will learn to create machine learning models that can recognise text, numbers, images, or sounds. It is an excellent learning-by-doing experience that will get children interested to learn more.


2. Tensorflow Playground/The Stardust Game

An interactive project powered by Google, TensorFlow Playground allows children to “tinker” with and visualize a neural network. From the ease of any browser, kids can play with and simulate, in real time, changes made to the neural networks.

For Kids, TensorFlow Playground inspired A.I. infused puzzle game, Stardust might be a great start!

Learn More: http://crayonfriends.com/stardust/


Kids A.I./Machine Learning Class

Teens from Preface Coding working on their 

Python data project.


1. Stempedia: Online AI Course for Kids

Designed specifically with children and beginners in mind, Stempedia offers a comprehensive and well-structured online AI course with engaging materials designed by experts. Through dynamic content and real-world examples, this course introduces children to AI and machine learning key concepts such as computer vision, face detection, optical character recognition. The star feature of the program is PictoBlox AI, an AI education platform where kids get to write their codes and create their own exciting AI projects!

Learn More: https://thestempedia.com/shop/online-courses/artificial-intelligence-for-kids/

Further Reading: 

Python for Kids


2. Udemy: Machine Learning for Kids and Beginners

For children and teenagers between 8 to 16 years old, Udemy’s Machine Learning course provides excellent tutorial materials that will help lay foundational knowledge. Students will develop new skills with every tutorial, as well as learn how large companies like Google, Amazon and Facebook leverage AI and Machine Learning. Covering hot topics like facial recognition and NLP (Natural Language Processing), this online course will equip young learners with key Machine Learning knowledge and skills upon completion.

Learn More: https://www.udemy.com/course/machine-learning-for-kids-and-beginners/


3. Preface: Data Science & A.I. with Python

For more mature students with basic coding knowledge, Preface Coding offers 1-on-1 classes for Data Science & A.I. with Python. Through personalized learning materials and interesting real-world examples, our teacher will guide the student from learning data science basics in Module 1, all the way to deploying machine learning in a final project in Module 5. Schedule a chat with the Curriculum Advisor today to get more information!

Learn More: https://www.preface.ai/data-science-with-python 

 

Further Reading List:

Reference:

“IBM Watson Machine Learning”, IBM
https://www.ibm.com/cloud/machine-learning

“Artificial intelligence for children”, unicef
https://www.unicef.org/globalinsight/stories/artificial-intelligence-children

“Teaching Kids about Artificial Intelligence”, Saturday Kids
https://www.saturdaykids.com/blog/teaching-kids-artificial-intelligence/

“What is Artificial Intelligence and the Ideal Age to Start Learning it?”, tinkerly
https://tinker.ly/what-is-artificial-intelligence-and-the-ideal-age-to-start-learning-it/

“AI for Kids: Top 5 Resources for Teaching AI to Kids in a Fun Way in 2020” , STEMpedia
https://thestempedia.com/blog/teaching-ai-kids/


“AI for Kids: Teach Kids AI with the Best Online AI Course”, STEMpedia
https://thestempedia.com/blog/best-online-ai-course-kids/

 

 

Wish to see what other innovative projects that we have launched? Take a look at our Instagram or Facebook for our latest news.  

Total
5
Shares
Related Posts
去中心化教育

文憑不等於一切 去中心化教育才是王道?

文憑不等於一切 去中心化教育才是王道? Covid-19 大流行期間,世界各地的學校紛紛為防疫而關閉,從幼兒園到大學的學生都只能在網上學習,顛覆了慣常的學習模式及處所。失去了學校這所實體建築,推進了教育去中心化的現象。要了解「去中心化」的真正意義和價值,首先要理解「中心化」和當前的教育生態系統。 傳統教育 – 以證書為憑的時代 不少香港人都表示讀大學「為張砂紙」,這正正是集中化教育的思想。傳統學位往往需要數年時間才能獲得「認證」。一般高等教育機構對課程設置、學生必修課等等都有嚴格的要求,學生也要通過「標準化」測試才得到評分及能力估算。由於課程設計受到機構內多重嚴格管理,完成設計時知識通常已經過時,而且為了一次過應付多個學生,教學方法上也很狹隘。現代科技日新月異,通常到畢業時,一個人花了四年時間學習的概念已經過時了。 總而言之,現時的傳統教育模式有以下弊病: 得到「認證」的時間長達數年 單一的教學方法 課程更改需時、知識過時 資料來源 : Coding Room 去中心化教育的掘起 集中化教育之下,那些對課外內容感興趣的學生需要花費額外的時間追求新知,卻仍然要滿足教育監督者的期望,而諷剌的是,這些監督者從來不是課程受眾。 什麼是去中心化教育?…
Read More
解決躺平靠教育?學校沒教的34件事足以重整人生

不做躺平族!靠學校沒教的34件事助你自主人生

解決躺平主義靠教育?學校沒教的34件事足以重整人生 這幾年在亞洲地區掀起一股「躺平」現象——年輕一代對人生規劃失去方向,不買車買房、不想奮鬥、對財富累積無感。然而,這一切都要歸咎於年輕人缺乏上進心嗎?學生待在學校的時間遠比在家多。這種心態上的轉變與學校教育離不了關係,不過現時課堂的教學模式,又能夠改善青少年「躺平」的這個心態嗎?讓Preface在這篇文章中,點列出學校沒教的34件事,在未來的日子一起重整心態吧! 資料來源:BusinessToday Table of Contents 躺平主義是什麼?我算躺平族嗎? 「躺平現象」是當下中國內地90後與00後們常用的網絡熱詞,所指是: 「站不起來,又不想跪著,剩下來的只有躺平」, 只需要維持最基本的「生存」所需必可,不再成為社會的螺絲,不再被利用、剝削 缺乏人生方向,對未來失去信心而感到無力的人 這與1991年的日本泡沫經濟爆破後,日本出現「低欲望社會」有所雷同。這股躺平風亦影響著香港的年輕人,在高房價、高物價下,青年沒有相應流動空間,只好維持最低生存狀態──「躺平」,與早前香港流行的「佛系」一詞有異曲同工之處。 在台灣,賴清德3月21日回母校成大,以困境與挑戰為題進行演講,並調查了在場200多位學生未來志向,其中居然有有高達42%的學生選擇當個「躺平族」,36%學生選則醫師、工程師等專業,24%人希望自己創業,18%希望進入公職體系。 資料來源:esquirehk、、udn 躺平的原因 與社會的關係 近年香港社會情緒較為失落。加上疫情影響,令好多年輕人感到前路茫茫,先別論香港的向上流動性有多低,連畢業後能否找到一份像樣的工作也需要擔心。急速的社會節奏、加班文化等等都加劇了躺平族的形成。而作為全球最高工時的地區,香港人不斷努力賺錢、提升生活質素、子女的前途等,錯過了很多家庭生活、夢想與健康。 與教育的關係…
Read More