STEAM Education Guide
In today's era of rapid technological development, education must also keep pace with the times to cultivate students' creativity and problem-solving abilities. STEAM education (science, technology, engineering, art and mathematics) and STEM education (science, technology, engineering and mathematics) have become hot topics in the global education community. This guide is designed to help teachers and parents better understand and implement STEAM and STEM education to lay a solid foundation for students' future development.
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Support schools to promote campus sports atmosphere and MVPA60 one-off subsidy: how to apply and activity suggestions
MVPA60 stands for “Moderate- to Vigorous-intensity Physical Activity for…
In-depth analysis: Hong Kong Education Bureau’s Life-wide Learning Grant
The Life-wide Learning Grant is a funding scheme established by the Hong Kong Education Bureau to promote the all-round development of students. The grant aims to support schools in organizing a variety of learning activities, including sports, arts,
Generative AI integrated into learning. At least five universities provide free access to tools like ChatGPT for University of Hong Kong students with a monthly limit of 20 instructions.
Artificial intelligence is a future trend, and several universities in Hong Kong have incorporated it into their curriculum. At least five universities have announced that they will provide free access to the Generative AI tool (GenAI) for students.
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【科技與運動完美融合】杯澳公立學校 AI-STEAM Day
杯澳公立學校 AI-STEAM Day 圓滿落幕!與孩子們一起探索科技與運動的完美融合! 2024年8月29日,我們蘊思智能團隊帶著精心設計的AI-STEAM Da
AI and STEM Education Basics: A Guide to the Basics of Artificial Intelligence and STEM
AI STEM Basics is an educational information platform specially designed for primary and secondary school teachers and parents, aiming to help them master the basic concepts and applications of artificial intelligence (AI) and STEM (science, technology, engineering, mathematics). On this platform, we provide detailed artificial intelligence principles, Raspberry Pi purchasing guide, and introduction to Python programming. Through these resources, you can gain a deeper understanding of the importance of AI and STEM education, and learn how to effectively use this knowledge in teaching to lay a solid foundation for students' future education. Whether it's understanding the basic concepts of AI, choosing the right Raspberry Pi model, or mastering Python programming skills, we can provide you with comprehensive support.
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Principles of Artificial Intelligence
The section on "Principles of Artificial Intelligence" aims to unveil the mysterious aspects of AI and provide readers with a better understanding of the fundamental concepts and related terminology of artificial intelligence. This section will introduce the relationship between AI and machine learning, delve into core elements such as data science, algorithms, and models, and explain the process of model development.
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Raspberry Pi Purchasing Guide
This section provides a comprehensive Raspberry Pi purchasing guide to help you make informed choices among various models and accessories. We will introduce the history of the Raspberry Pi series, compare the performance and features of different models, and provide detailed explanations of common accessories and expansion boards. The content of this section will assist you in selecting the most suitable Raspberry Pi model and accessories based on different application scenarios, enabling you to excel in the fields of artificial intelligence and Internet of Things education.
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Introduction to Python Programming
Python is the most suitable programming language for beginners and is widely used in industries such as artificial intelligence and data science. Starting from 2022, Python programming is also included as a compulsory unit in the DSE ICT curriculum. This section aims to provide you with a basic guide to Python programming and help you embark on your programming journey. We will cover topics such as installing Python, the features of Anaconda, and explain practical tools like Jupyter Notebook/Jupyter Lab and Google Colab. Additionally, we will explore basic concepts such as built-in functions and class methods in Python.