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FLEX AI 更好地學習和研究人工智慧 Chatgpt Pt 4 4W1

新班級
年齡 7-10
自訂進度課程
參加本課程,了解人工智慧技術(如 ChatGPT 等人工智慧)如何幫助您在現實生活中更好更快地學習和學習。如何掌握人工智慧以獲得更好的成績。
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4.8
評論數量:
(1,288 評論)
熱門課程

4 預錄課程
4 教師支援週
自行選擇何時開始
1 年內容存取權

立即報名,隨時開始

按照自己的步調走
您的學習者可以在他們想要的時候開始學習,並以最適合他們的速度進步。
當你想要的時候開始。
按照自己的步調學習
訪問一整年的課程材料。
獲得老師的實際支持。

包含什麼

4 預錄課程
4 週
教師的支持
1 年訪問權
到內容
作業
每週 1 小時. Homework assignments will vary each week and may include individual or group projects, reading, or online research. Students should expect to spend approximately 30 mins per week on homework assignments.
評估
Learner progress will be assessed through weekly homework assignments.
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課堂經歷

Part 4 of 4.
This is this final 4 week section of a 4 part course. If you have not taken part 1, please look through our class listings page and start at the beginning to enjoy the full course.

In this AI for Better Learning class, students will learn how artificial intelligence can help them learn better and faster, with a focus on the innovative chatbot, ChatGPT. Students will gain an understanding of what artificial intelligence is and how it can b{{e used to improve their learning experience.

The class will be divided into the following weeks and topics:

Week 13: Using ChatGPT to Learn New Vocabulary
Week 14: Using ChatGPT to Practice Conversational Skills
Week 15: Using ChatGPT for Homework Help
Week 16: Final Project and Recap

By the end of the class, students will have a solid understanding of artificial intelligence and the many ways in which it can be used to enhance their learning experience. They will understand how to use it to improve their reading, vocabulary, conversation skills, and get homework help. They will have completed a final project that showcases their newfound knowledge and skills.

The flexible schedule (Recorded Flex Class) allows learners to watch pre-recorded videos and complete assignments at their convenience. Students can spend extra time on topics that interest them most. As a flex class, there are no live meetings, but students can submit questions to the teacher and receive feedback on assignments.

After watching each video and completing the homework assignments, students will be provided with feedback and the specific next steps on how to improve or adapt. 

Time frame for the Week:
Mondays - The teacher will post the information needed for the week. Students can submit questions.
Tuesdays - Wednesday - The teacher can answer any questions pertaining to the topic of the week.  The students will need to complete any homework assignments and answer any questions in the discussion.
Thursday - Students need to have all tasks completed and uploaded in the classroom for teacher feedback and discussion. Students will discuss it among themselves.
Friday - The teacher will provide feedback to the class and individual students.
Saturday - Sunday - The teacher will be available to answer any questions that the students may have for the week or the next week.

Please note:
This course requires no prior experience.

學習目標

Students will learn about the basics of AI and how it can be used to improve learning outcomes. They will also explore various AI-powered learning tools and develop their own AI-powered projects.

教學大綱

4 課程
超過 4 週
課 1:
Class 1
 Class 1 
課 2:
Class 2
 Class 2 
課 3:
Class 3
 Class 3 
課 4:
Class 4
 Class 4 

其他詳情

父母的引導和規範
This course does not contain any content that may be upsetting or scary to learners.
供應清單
Only the teacher will be using online resources and online tools like ChatGPT, which will be shared in class via zoom by the teacher. The student is not required / expected to need any third-party apps, websites, or services to use as part of this class.
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。
來源
"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig - This is a classic textbook on AI that provides a comprehensive introduction to the field. "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville - This is a popular textbook on deep learning, which is a subset of AI that involves using neural networks to learn from data. "Machine Learning Yearning" by Andrew Ng - This is a practical guide to machine learning that is designed for beginners who want to learn how to build and deploy machine learning systems.

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教師專業知識和證書
學士學位 在 科學 從 Brighton University UK
Jo Reynolds BSc Money Business Video Games YouTube
Our instructor, Jonathan, brings a unique set of skills and experience to the table. With over 20 years of teaching experience, he has a Bachelor's degree in Computer Science and a passion for teaching conversational English to learners of all ages. Additionally, he has worked as a martial arts expert and has performed around the world with various circus teams, showcasing his many talents, including bubbleology, staff spinning, juggling, and stilt walking. As a successful serial entrepreneur, Jonathan has a wealth of knowledge in financial management and investment portfolio management, making him an expert in identifying and seizing opportunities. His diverse background and extensive experience make him the ideal instructor for this class on using AI for better learning.

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