US$300
for 10 classes
機器學習 5 天密集課程：人工智慧簡介
新班級
年齡 9-11
現場團體課程
平均評分：
5.0
評論數量：(581 評論)
明星教育家
熱門課程
即時視訊會議
每週10次，共 1 週
3-8 名學習者(每班)
45 分鐘
包含什麼
10 現場會議
7 小時 30 分鐘 上課時間項目
每週 1 小時. 每週3-6次完成證書
包括我們無法翻譯此文，請刷新頁面並再試一次。
課堂經歷
英語程度 - A2
美國 5 - 6 年級
Beginner 等級
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
學習目標
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.教學大綱
5 單位
10 課程
超過 1 週單位 1: Day 1
課 1:
Introduction to AI
What is AI? Understanding artificial intelligence in simple terms. 45 分鐘線上直播課
課 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 分鐘線上直播課
單位 2: Day 2
課 3:
Machine Learning Basics
What is machine learning? Introduction to how machines learn from data. 45 分鐘線上直播課
課 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 分鐘線上直播課
其他詳情
父母的引導和規範
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.
供應清單
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
外部資源
學習者無需使用標準 Outschool 工具以外的任何應用程式或網站。
認識老師
已加入 April, 2020
5.0
581評論
明星教育家
熱門課程
教師專業知識和證書
賓州 教學證書
學士學位 在 化學工程 從 University of California, Santa Barbara
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評論
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