機械学習ラボ: 子どものための AI 入門
AI と機械学習のクラスで未来を切り開きましょう。子どもたちはスマートテクノロジーを探求し、プロジェクトを構築し、創造性を刺激します。
Ms. Sara (STEM Apprentice Academy)
平均評価:
5.0
レビュー数:(556)
Star Educator
含まれるもの
12 ライブミーティング
9 授業時間プロジェクト
週1時間. クラス全体を通して7-修了証書
含まれるこの文章は自動翻訳されています
このクラスで学べること
英語レベル - A2
米国の学年 5 - 6
Beginner レベル向け
Artificial Intelligence (AI) is everywhere—from personalized recommendations and voice-activated devices to smart home systems, self-driving cars, and beyond. In this engaging class, students will cultivate machine learning skills by exploring AI and coding through interactive projects. With a blend of hands-on digital and “unplugged” activities, they’ll tap into their creativity, becoming not just consumers, but knowledgeable and inventive creators of AI. Here’s what we’ll explore: - What is artificial intelligence (AI)? - How does machine learning work? - How will AI shape my life and my community? - What are the social impacts of these technologies? - What should we consider when creating AI applications? - How can we ensure AI is safe, equitable, and respects privacy? - What can I do with AI? - How do you train an AI application? - What does the future hold for these technologies? - Why should I care? Students will discover how to harness generative AI tools as intelligent tutors, problem-solvers, and even as aids for proofreading and organizing their work. This class not only focuses on coding but also emphasizes ethical considerations and responsible AI usage, preparing students for the ever-changing tech world.
学習到達目標
Understand AI Basics: Grasp fundamental concepts of Artificial Intelligence and Machine Learning.Explore Algorithms: Learn how algorithms work and their role in AI and Machine Learning.
シラバス
12 レッスン
12 週間以上レッスン 1:
Introduction to AI
What is AI? Understanding artificial intelligence in simple terms. 45 分のオンラインライブレッスン
レッスン 2:
Machine Learning Basics
What is machine learning? Introduction to how machines learn from data. 45 分のオンラインライブレッスン
レッスン 3:
Glass Half Empty or Half Full?
Train a computer to predict when you describe a glass as half-full or half-empty.
Teach a computer to play a game
• Decision tree learning as a way for computers to learn how to play games. 45 分のオンラインライブレッスン
レッスン 4:
Smart Classroom
Create a smart assistant in a special version of Scratch that lets you control virtual devices.
Teach a computer to recognize the meaning of your commands
• How computers can be trained to recognize the intent behind writing.
• Confidence thresholds indicate when the machine cannot recognize the meaning.
• How virtual assistants (e.g. Apple Siri, Amazon Alexa, Google Home) work. 45 分のオンラインライブレッスン
その他の情報
保護者へのお知らせ
Remember to keep your private information private - for example, no last names, home cities, or gaming handles shared within the classroom. Please review with your student before class.
Google Quick Draw: This is a game built with machine learning. You draw, and a neural network tries to guess what you’re drawing. Web-based and does not require a login to use.
Google Teachable Machine: A web-based tool that makes creating machine learning models fast, easy, and accessible to everyone. When you train the model, it trains in your browser tab without sending anything to any servers. If you close your tab, nothing is saved in your browser or on any servers. No login required.
Machine Learning for Kids: Using "Try it now" to means there is no need to log on or create an account. We will be storing your training examples on your own computer (in your web browser). No login is required. This program integrates with a special version of Scratch 3.0 that integrates Google's Teachable Machine as mentioned above. Projects can only be saved to your harddrive and will not work with the web-based Scratch program.
Use of ChatGPT and other LLMs will be shared from the teacher's shared screen for observation and collaboration. Students will not be accessing ChatGPT during this class from their own device.
Considering the different forms of bias and ethical challenges of AI applications in K-12 settings, we will touch on problems of privacy, surveillance, autonomy, bias, and discrimination.
受講に必要なもの
It is strongly encouraged to have two devices. One device for Zoom (laptop, desktop computer, smartphone or tablet) and a second device for projects. Computer WebCam Microphone Keyboard
外部リソース
このクラスでは、Outschool内のクラスルームに加えて、以下を使用します。
参加しました April, 2020
5.0
556レビュー
Star Educator
教師の専門知識と資格
ペンシルバニア 教員免許
学士号 University of California, Santa Barbaraから 化学工学 へ
Great teachers form strong relationships with their students by engaging them in the subjects they are passionate about. I have always been a logical thinker who enjoys science, math, technology, and engineering both for work and play.
I worked as an engineer for companies like Frito-Lay, Anheuser-Busch, Amgen as a consultant for many years improving their systems with automation and equipment. Once I became a parent, I began teaching extra-curricular classes as a way to have more time at home, but stay involved in subjects that bring me joy.
Realizing that by being warm, professional, and enthusiastic, I can engage students. My creative lessons and strong classroom presence help build student confidence while increasing interest in subjects that may otherwise seem intimidating.
I have completed Professional Development courses on AI, such as "Preparing to Teach Coding with AI" from code.org and "Creating a Spark for AI" from IBM + mSLレビュー
ライブグループコース
$300
12 クラス分週に1回、 12 週間
45 分
オンラインライブ授業
年齢: 8-12
クラス人数： 3 人-8 人
