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Reviewing the Importance of Learning Artificial Intelligence for Kids

Reviewing the Importance of Learning Artificial Intelligence for Kids

2
Learning

Artificial Intelligence for Kids

Artificial intelligence or AI stands for the method through which a machine is enabled to think as humans do. In this field, many different technologies are used together to develop intelligent systems and software that can learn and mimic humans’ actions. The adoption of artificial intelligence is growing steadily with a significant number of industries reaping its benefits. Let’s take a look at five industries that are experiencing the maximum impact of it.

 

E-commerce: Here, AI-powered bots respond to customer questions immediately while providing them with precise solutions. Today, e-commerce stores have also become able to lower the cart abandonment rate by having chatbots reminding their customers of the products left in their shopping carts.

Cybersecurity: While cybersecurity is a never-ending concern, the implementation of AI-enabled systems has helped companies strengthen their software systems to a great extent.

Finance: AI has been able to help financial institutions to increase their reputation and lower losses by identifying fraudulent and legitimate transactions accurately. It also helps them determine whether or not an investment is beneficial by analyzing historical data.

Automotive: AI-powered self-driving cars can avoid accidents and lower traffic with the help of advanced sensors and cognitive equipment. These systems also assist the drivers of manually-operated cars by monitoring traffic and sleep, using automatic brakes if needed, etc.

Healthcare: With the help of AI-powered applications, healthcare providers are successfully performing early detection, diagnosis, training, etc. AI-powered bots also assist surgeons in various surgeries, which results in higher accuracy and shorter hospital stay.

 

Artificial intelligence related jobs in high demand

Artificial Intelligence for KidsFrom robotic assistants to self-driving cars, AI has truly transformed the way we live and work. With the skyrocketing demand for professionals with AI skills, it can be safe to say that there are and will be countless opportunities for professionals who want to acquire the necessary knowledge and skills. A report from Gartner[1] in 2019 revealed that AI’s enterprise applications have grown a whopping 270% in just four years. It means for professionals looking to land a job in AI-related fields opportunities are abundant. Here’re the five job roles in the field of artificial intelligence that are in high demand now and will be in the future.

 

Machine learning engineer: These people work with huge data sets and are responsible for developing and managing self-running software that’s capable of facilitating machine learning initiatives.

Data scientist: These professionals are responsible for capturing, analyzing, and interpreting massive chunks of data with the help of predictive analytics and machine learning to obtain actionable insights.

Machine learning researcher: These people research to improve machine learning and robotics and work to improve the effectiveness of algorithms.

Business intelligence developer: The primary responsibility of these professionals is to review complex data sets to identify current market and business trends. They typically focus on two key areas of development – business profitability and efficiency.

Robotic scientists: These people focus on developing robots or mechanical devices that can perform tasks by receiving commands from humans.

 

Why you should introduce your kid to artificial intelligence now

Artificial intelligence is being utilized in nearly every industry. While it may sound strange to introduce children to a complex subject like AI, it can help them build great careers in the future. And the best part is even if your kid doesn’t want to make a career particularly in the field of AI, it’ll help him/her in many other ways.

 

Knowledge of coding: Coding has become an integral part of all advanced technologies including artificial intelligence, machine learning, and data science. In your effort to introduce your kid to AI, you’ll eventually help him/her learn coding, which is one of the most sought-after skills today and will remain so in the future.

Exposure to big data: It’s data that drives this century and forms the foundation of artificial intelligence. Therefore, by getting introduced to big data, kids can start to understand how data forms the foundation of today’s digital world. Later, they’ll also be able to visualize the business opportunities that are transforming the world.

Interest in STEM subjects: Kids often find it difficult to understand scientific concepts. AI programs and robotics for kids focus more on “doing” instead of “learning”. When kids learn concepts through practical knowledge, they automatically find STEM subjects interesting and engaging.

Improved problem-solving skills: When a kid starts to learn the basics of artificial intelligence, he/she eventually become well-versed with the fundamentals of STEM subjects. And he/she starts addressing problems with a different approach, which increases his/her curiosity and improves problem-solving skills.

Understanding of AI: By learning the fundamentals of AI, kids can understand that this is the field that not only transforming today’s world but will most likely control a huge portion of the future job market as well. So, they’ll start realizing the real importance of AI and focus more on learning it if the topics sound interesting to them.

 

How to introduce children to artificial intelligence

Teaching children about artificial intelligence is not as difficult as many parents think. If you too belong to the same league, take a look at the following methods to accomplish your goal.

 

Enroll him/her in an online course: While there’re many free resources available for helping kids to learn AI, having him/her enrolled in an online AI course is the most effective option. This is because these courses aren’t only created by renowned subject-matter experts but are designed to match the level of understanding and age of the learners.

Use online resources: There’re lots of resources to help your kid get introduced to AI. Some of these include Cognimates, Experiments with Google, and Machine Learning for Kids.

 

Apart from these, you can also use YouTube to introduce your kid to artificial intelligence.

 

Summing up

Artificial intelligence is here to stay and will only become more powerful over time. It is time to acknowledge this and help and prepare our kids to deal with it more efficiently. The learning won’t be only restricted to their career benefits but might help them make some positive changes as well.

 

[1] https://www.gartner.com/en/newsroom/press-releases/2019-01-21-gartner-survey-shows-37-percent-of-organizations-have

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JOHN H. FALK

Director of the Institute for Learning Innovation and Sea Grant Professor Emeritus of Free-Choice Learning at Oregon State University

 

Dr. John H. Falk is Director of the Institute for Learning Innovation and Sea Grant Professor Emeritus of Free-Choice Learning at Oregon State University. He is a leading expert on free-choice learning; the learning that occurs when people have significant choice and control over what, where, and when they learn.

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CHRISTINE CUNNINGHAM

Professor of Practice of Education and Engineering at Penn State University

 

Dr. Christine Cunningham is a Professor of Practice of Education and Engineering at Penn State University. Her work focuses on making engineering more relevant, accessible, and inclusive, especially for underserved and underrepresented populations. She does this by creating researched-based engineering curricula for PreK-8 children and their educators. Her book, Engineering in Elementary STEM Education, describes her groundbreaking work. Previously, Cunningham was the Founding Director of Engineering is Elementary. Cunningham has received a number of awards; in 2017 her work was recognized with the prestigious Harold W. McGraw Jr. Prize in Education.

 

CHRIS ROGERS

Chris Rogers Professor and Chair of Mechanical Engineering at Tufts University

 

His research interests are:

Engineering Education, Robotics, and Musical Instrument Design

 

Education

Ph., D Mechanical Engineering, Stanford University
M.S., Mechanical Engineering, Stanford University
B.S., Mechanical Engineering, Stanford University

 

Biography

Chris Rogers earned his B.S., M.S., and Ph.D. in mechanical engineering at Stanford University, where he worked with Professor John Eaton on his thesis on particle motion in a boundary layer flow. Rogers joined the Department of Mechanical Engineering at Tufts School of Engineering in 1989. He is involved in a number of research areas, including particle-laden flows (a continuation of his thesis), telerobotics and controls, the slurry flows in chemical-mechanical planarization, the engineering of musical instruments, measuring flame shapes of couch fires, measuring fruit-fly locomotion, and engineering education (kindergarten to college). At Tufts, Rogers has exercised his strong commitment to teaching by exploring a number of new directions, including teaching robotics with LEGO bricks and teaching manufacturing by building musical instruments. His teaching work extends to the elementary school level, where he talks with over 1,000 teachers around the world every year on methods of introducing young children to engineering.

 

RumeysaDogan

RUMEYSA DOGAN

Co-founder and COO at TechDev Academy

  • Graduated from top-ranked business school with high honor
  • Worked in top global companies as Vodafone, Benetton Group, etc
  • Experienced in Product Management and Digital Marketing Analytics
  • Managed Entrepreneurship Club and mentored several entrepreneurs

 

 

ismail-marulcu

ISMAIL MARULCU

Co-founder & Chief Education Officer at TechDev Academy

  • Educator and Researcher since 2001
  • M.Ed. in Curriculum and Instruction from Boston College
  • Ph.D. in STEM Education from Boston College
  • Mentored more than 100 pre-service teachers, college students, and high school students

 

 

PaolaGomez

PAOLA G. GONZALES

Mentor & Educator

  • over 2,000 hours mentoring students and 4 years of teaching experience
  • spearheaded a nonprofit organization that provides mentorship to underrepresented students at the UC, Davis
  • an active member of the Surfrider Foundation

 

 

AyushKanodia

AYUSH KANODIA

Ph.D. Student in Computer Science at Stanford

  • Ph.D. Candidate in Computer Science at Stanford Uni.
  • Worked as a software engineer for Google
  • Expert in the intersection of Computer Science and Economics.

 

 

KairatSabyrov

KAIRAT SABYROV

Ph.D., Data Scientist

  • B.S. in chemistry and physics
  • Ph.D. In physical chemistry
  • Data science instructor at Lambda School
  • Worked at Lawrence Berkeley National Lab at the UC, Berkeley

 

 

BAHRUDIN TRBALIC

Ph.D., Candidate at Stanford University

  • Studied Physics & Electrical Engineering at MIT.
  • Worked at MIT as a Medical Data Analyst and Product Developer.
  • The founder and lead developer of Expert Experiments.
  • Received the 2023 Robert H. Siemann Graduate Fellowship and 2022 NASA Astrophysics Research and Analysis Award.
  • Spearheaded STEM camps across Europe and Asia.
  • He has been mentoring students for years.

 

 

SHASHA ANRONIKOV

Researcher at Stanford University

  • Recent honors graduate from Cornell University with a major in biological sciences and a minor in business at the College of Agriculture and Life Sciences.
  • Currently working at Stanford University in the Nolan Lab to conduct immunopathology research.

 

 

LISA WANG

BSc Harvard University Graduate

  • Studied Environmental Science and Engineering.
  • Cross-registered to Harvard Univ. and MIT.
  • An advisor to the Harvard Undergraduate Clean Energy Group.
  • Co-founder of Coolant, a company that builds software to unlock nature-based carbon markets.

 

 

SEMI HASAJ

MBA Data Scientist at C3 AI

  • Studied Data Science while obtaining his Master's of Business Analytics at MIT.
  • Studied Space Engineering in Toronto, Canada where he grew up.
  • He has spent years tutoring others because he loves to help people learn and grow.

 

 

SAMY AWWAD

Junior at Stanford University

  • Studying Symbolic Systems with a focus on Neurosciences and plans to be a medical doctor.
  • Founded ImmuniGlobal, a national nonprofit in vaccine education, and he was featured in Healthline magazine.
  • A published researcher in PubMed.
  • Honored by the CDC as a Flu Fighter during the COVID-19 pandemic.
  • Enthusiastic about empowering young changemakers.

 

 

HASAN TUNCER

Ph.D., Product Manager at Cruise

  • BSc. in Computer Science at Koc University, Istanbul.
  • Ph.D. in Computing and Information Scienves at Rochester Institute of Technology in New York.
  • Worked as a software engineering at Wall Street.
  • Product Manager for Cloud Services (at IBM Silicon Valley Lab), autonomous vehicles (at NIO, aka Chinese Tesla, Uber ATG, Aurora and Cruise)

 

 

RayYucel

RAY YUCEL

Ph.D., Data Scientist in Magnimind Inc.

  • B.S in Materials Engineering
  • M.Sc in Management
  • Ph.D. Candidate in Economics
  • Data scientist at Magnimind Inc.
  • Employs deep learning in finance and health care data

 

 

SofoklisGoulas

SOFOKLIS GOULAS

Ph.D., Senior Research Associate at the Hoover Institution at Stanford University

  • Senior research associate, Stanford Uni.
  • The use of data science and machine learning in economics
  • M.Sc. in finance and economics, Warwick business school
  • MS and a Ph.D. in economics, the Uni. of North Carolina at Chapel Hill
  • Worked at the Uni. of North Carolina and at the Bank of Greece

 

 

EnricoSantus

ENRICO SANTUS

Senior Data Scientist at Bayer

  • Senior data scientist at Bayer
  • Postdoc at MIT, in the group of Regina Barzilay
  • Experience in NLP in Oncology, Cardiology and Palliative Care
  • Experience in Fake News Detection, Sentiment Analysis, and Lexical Semantics.
  • Invited to talk at the White House

 

 

EMILY HALFORD

Data Analyst

  • Data analyst working in psychiatric epidemiology
  • Data Science&Mental Health Expert with the BBN Times
  • Master of Public Health, Columbia Uni.

 

 

RyanSpitler

RYAN SPITLER

Ph.D., Co-Founder and Deputy Director of the Precision Health and Integrated Diagnostics Center (PHIND) at Stanford University

  • Faculty Member, Standford Uni.
  • Founding Partner at Boutique Venture Partners
  • B.S. in Molecular Cell and Developmental Biology, UC, Santa Cruz
  • Ph.D. In Cellular and Developmental Biology, UC, Irvine

 

 

muratbaday

MURAT BADAY

Scientist at Stanford Uni, Founder & CEO at TechDev Academy

  • Co-founder of Smartlens, Magnimind, Wowso, Nanosight
  • M.S. in Physics from the University of Pittsburgh
  • Ph.D. in Computational Biology and Biophysics from the Uni. of Illinois at Urbana-Champaign
  • Mentored and tutored over 100 high school students
  • Developed novel ideas and has over 8 patents

 

 

GyunelRashidova

GYUNEL RASHIDOVA

B.S. in Biological Sciences,
Research assistant at the Laboratory of Biosensors and Bioinstrumentation

  • iGEM alumni, received Gold Medal among 250 teams
  • Fellowship holder from Women in Tech international organization
  • Founder of social projects:
    “OncoSense” - fabrication of device for the detection of cancer biomarkers;
    “RemiSee” - promotion of a colorblind-friendly educational platform
  • AIESEC alumni, organized case competitions with over 300 participants
  • Organized iGEM Biohackathon and Summer Camp for high-school and university students to apply coding for solving real case studies

 

 

SoudehYaghouti

SOUDEH YAGHOUTI

Ph.D., Data Scientist at Megalab, Silicon Valley

  • Ph.D. in Electrical Engineering, University of Naples Federico II, Italy.
  • More than 4 years of experience in data-driven research on electrical network systems.
  • Collaborating with TechDev Academy for several years and taught students data analysis projects.
  • Collaborated with Stanford scientists on projects that aimed to automate medical diagnosis of diseases with the help of image processing techniques and AI.

 

 

AIZHAN IBRAYEVA

MSc Researcher at Stanford University

  • MS. Aerospace Engineering from Purdue University.
  • Did research at Stanford University, Aerospace Science Lab (Purdue), Rarefied Gas Dynamics Lab (Purdue)
  • Worked on projects supported by NASA.
  • Worked as Engineer at Silicon Valley Startup companies.
  • Mentored Students from top US school

 

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Mon-Fri 2 hours of daily instruction and 2 hours of self-paced project development.

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