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US$13

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or US$89 for all content
班級
玩

野生動物人工智慧探索者:建構保育機器人!

由 1 位學習者完成
年齡 12-18
自訂進度課程
在這門獨特的課程中,年輕的創新者學習設計用於保育工作的機器人,深入了解野生動物人工智慧和機器人的激動人心的世界!學生將探索尖端技術,應用人工智慧概念和設計思維
7 預錄課程
7 教師支援週
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1 年內容存取權

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包含什麼

7 預錄課程
7 週
教師的支持
1 年訪問權
到內容
項目
每週 1-2 小時. 1-2 整堂課
完成證書
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課堂經歷

英語程度 - 未知
美國 6 - 9 年級
Beginner 等級
In this innovative 7-week course, students will explore the exciting intersection of artificial intelligence, robotics, and wildlife conservation. Through a combination of interactive lectures, hands-on activities, and group projects, learners will develop a deep understanding of how technology can be used to protect and study wildlife.
The class is structured to provide a balance of theoretical knowledge and practical application. Each week focuses on a specific aspect of Wildlife AI and robotics, building towards a final project where students will design their own wildlife conservation robot concept.
My teaching style is engaging and participatory, encouraging students to think critically and creatively. I use a mix of visual presentations, video clips of real-world conservation tech, to keep the class interesting. 

By the end of this course, you will:

-Understand basic principles of robotics and AI
-Gain hands-on experience with robotics technology
-Learn about wildlife observation and conservation techniques
-Develop problem-solving skills by creating tech solutions for real-world issues
-Cultivate an appreciation for the intersection of technology and nature

學習目標

Explain the basic principles of AI and robotics as applied to wildlife conservation
Apply the design thinking process to develop tech-based solutions for environmental challenges

教學大綱

課程
遵循 Teacher-Created 課程
7 課程
超過 7 週
課 1:
Course Introduction and Overview: Welcome to Wildlife AI Robotics!
 This week provides an introduction to the field of engineering, exploring its fundamental principles and methodologies. Students will gain a deep understanding of what engineering entails, including its various disciplines and real-world applications. The class will focus on the Engineering Design Process, teaching students how to approach and solve complex problems systematically. Throughout the course, key engineering concepts will be introduced and examined. 
課 2:
Wildlife Observation Techniques
 This week introduces students to wildlife observation techniques, blending traditional methods with modern technology. Participants will gain hands-on experience setting up basic observation stations, learning essential skills for field research. The course incorporates an innovative LEGO Mindstorms EV3 challenge, where students will build a simple rotating camera mount, bridging the gap between engineering and wildlife studies. 
課 3:
Introduction to AI in Wildlife Conservation
 This module explores the cutting-edge intersection of artificial intelligence and wildlife conservation. It begins with a  presentation on AI applications in wildlife conservation, highlighting current technologies and future possibilities. Students then engage in a thought-provoking group discussion on the ethical considerations of using AI in nature, encouraging critical thinking about the balance between technological advancement and environmental stewardship. 
課 4:
Environmental Monitoring
 This hands-on module immerses students in the practical application of environmental monitoring and robotics. The course begins with a field activity where participants collect crucial environmental data, including temperature, humidity, and soil moisture, gaining firsthand experience in scientific data gathering. Building on this, students tackle an exciting robotics challenge to construct and program a mobile environmental sensor using LEGO Mindstorms EV3. 

其他詳情

供應清單
Notebook and pencil for sketching and note-taking
Access to a computer or tablet with internet connection
(Optional) Basic art supplies for prototype sketching (colored pencils, markers)
Your own robotic kit or similar
No textbooks required - all necessary materials will be provided digitally
外部資源
除了 Outschool 教室外,本課程也使用:

提供自

已加入 January, 2024
教師檔案
教師專業知識和證書
I hold a doctoral degree in Applied Sciences and graduate certification Informatics. I have 2 years of experience working on wildlife projects in various ecosystems. Additionally, I've completed certifications in AI and Machine Learning and have been teaching STEM subjects to middle school students for the past 3 years.

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