機械学習 5 日間集中講座: AI 入門
AI と機械学習キャンプ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)
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含まれるもの
10 ライブミーティング
7 時間 30 分 授業時間プロジェクト
週1時間. 週3～6回修了証書
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 5-day intensive, 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 in our 5 days together: - What is artificial intelligence (AI)? - How does machine learning work? - How will AI shape my life and my community? - 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? This class meets twice a day for five consecutive days. Schedule each day: Class 1 30 minute break Class 2
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
5 ユニット
10 レッスン
1 週間以上ユニット 1: Day 1
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:
Face Finder
Make a video face filter in Scratch that turns your face into a cartoon.
Use a computer that has been trained to recognize what faces look like
• Learn how computers can be trained to recognize faces 45 分のオンラインライブレッスン
ユニット 2: Day 2
レッスン 3:
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 4:
Rock Paper Scissors
Webcam required.
Make a Rock, Paper, Scissors game in a special version of Scratch that learns to recognize hand shapes. Teach a computer to recognize shapes
• How computers can be trained to recognize pictures.
• The importance of variety in training machine learning systems. 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
学習者は、Outschoolが提供する基本ツール以外のアプリやウェブサイトを使用する必要はありません。
参加しました April, 2020
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581レビュー
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教師の専門知識と資格
ペンシルバニア州 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
10 クラス分週に10回、 1 週間
45 分
オンラインライブ授業
年齢: 9-11
クラス人数： 3 人-8 人
