AIT课程

AIT (Artificial Intelligence Technology)

小学阶段(3-6年级,每年18课时)

Primary School Stage (Grades 3-6, 18 hours per year)

1. 认识人工智能:AI是什么?(4课时)

1. Understanding Artificial Intelligence: What is AI? (4 hours)

  • AI的基本概念和应用领域
  • Basic concepts and application areas of AI
  • AI在日常生活中的应用
  • AI applications in daily life
  • AI的发展历程和未来展望
  • AI development history and future prospects
  • AI的基本伦理问题(整合部分伦理内容)
  • Basic ethical issues in AI (integrating some ethical content)

2. AI在我们身边:日常生活中的AI应用(6课时)

2. AI Around Us: AI Applications in Daily Life (6 hours)

  • 识别生活中的AI应用
  • Identifying AI applications in everyday life
  • AI对生活方式的影响
  • The impact of AI on lifestyles
  • AI的局限性和挑战
  • Limitations and challenges of AI
  • AI应用案例分析(包含简单的伦理讨论)
  • AI application case studies (including simple ethical discussions)

3. AI思维训练:解决问题的新方法(6课时)

3. AI Thinking Training: New Problem-Solving Methods (6 hours)

  • 算法思维入门
  • Introduction to algorithmic thinking
  • 模式识别基础
  • Basics of pattern recognition
  • 简单的机器学习概念
  • Simple machine learning concepts
  • AI在创意思考中的应用
  • Application of AI in creative thinking

4. Scratch编程基础(10课时,课后或周末)

4. Scratch Programming Basics (10 hours, after school or weekends)

  • Scratch界面和基本功能 (选修)
  • Scratch interface and basic functions (elective)
  • 使用Scratch创建简单游戏和动画
  • Creating simple games and animations using Scratch
  • 在Scratch中模拟简单的AI行为
  • Simulating simple AI behaviors in Scratch

初中阶段(7-9年级,每年27课时)

Middle School Stage (Grades 7-9, 27 hours per year)

1. AI基础知识与应用(10课时)

1. AI Fundamentals and Applications (10 hours)

  • 机器学习基础概念
  • Basic concepts of machine learning
  • 神经网络入门
  • Introduction to neural networks
  • AI在不同领域的应用介绍
  • Introduction to AI applications in various fields
  • AI的社会影响和责任(整合伦理内容)
  • Social impact and responsibility of AI (integrating ethical content)

2. AI工具应用:快速制作AI产品(8课时)

2. AI Tool Applications: Rapid AI Product Development (8 hours)

  • 无代码AI平台介绍
  • Introduction to no-code AI platforms
  • 使用预训练模型创建应用
  • Creating applications using pre-trained models
  • AI对话机器人制作
  • Developing AI chatbots
  • AI应用的安全和隐私考虑(整合安全内容)
  • Security and privacy considerations in AI applications (integrating security content)

3. 跨学科AI应用(9课时)

3. Interdisciplinary AI Applications (9 hours)

  • AI辅助写作与论文撰写
  • AI-assisted writing and paper composition
  • AI在科学实验中的应用
  • AI applications in scientific experiments
  • AI辅助数学学习
  • AI-assisted mathematics learning
  • AI在语言学习中的应用
  • AI applications in language learning
  • AI跨学科应用综合实践
  • Comprehensive practice of interdisciplinary AI applications

4. Python编程基础与简单AI应用(15课时,课后或周末)

4. Python Programming Basics and Simple AI Applications (15 hours, after school or weekends)

  • Python基础语法 (选修)
  • Python basic syntax (elective)
  • 数据处理和可视化(选修)
  • Data processing and visualization (elective)
  • 使用Python实现简单的机器学习模型
  • Implementing simple machine learning models using Python

高中阶段(10-12年级,每年36课时)

High School Stage (Grades 10-12, 36 hours per year)

1. AI核心技术(12课时)

1. AI Core Technologies (12 hours)

  • 深度学习基础
  • Fundamentals of deep learning
  • 计算机视觉和自然语言处理入门
  • Introduction to computer vision and natural language processing
  • 强化学习概念
  • Concepts of reinforcement learning
  • AI技术的伦理考量(整合伦理内容)
  • Ethical considerations in AI technologies (integrating ethical content)

2. AI与数据科学(8课时)

2. AI and Data Science (8 hours)

  • 大数据和AI的关系
  • The relationship between big data and AI
  • 数据收集、清洗和分析
  • Data collection, cleaning, and analysis
  • 数据可视化技术
  • Data visualization techniques
  • 数据伦理和隐私保护(整合伦理内容)
  • Data ethics and privacy protection (integrating ethical content)

3. AI项目开发(12课时)

3. AI Project Development (12 hours)

  • 项目构思与需求分析
  • Project ideation and requirements analysis
  • AI模型选择与应用
  • AI model selection and application
  • 项目实施和测试
  • Project implementation and testing
  • AI项目的社会责任和风险控制(整合伦理和安全内容)
  • Social responsibility and risk control in AI projects (integrating ethical and security content)

4. AI前沿技术和未来趋势(4课时)

4. AI Cutting-edge Technologies and Future Trends (4 hours)

  • AI最新研究方向介绍
  • Introduction to the latest AI research directions
  • AI在各行业的未来应用
  • Future applications of AI in various industries
  • AI与人类的未来关系
  • The future relationship between AI and humans
  • AI发展的伦理挑战(整合伦理内容)
  • Ethical challenges in AI development (integrating ethical content)

高级AI编程与实践(20课时) (选修)

Advanced AI Programming and Practice (20 hours)

  • 高级Python编程
  • Advanced Python programming (elective)
  • 使用TensorFlow或PyTorch实现深度学习模型
  • Implementing deep learning models using TensorFlow or PyTorch
  • AI模型部署和优化
  • AI model deployment and optimization

配套活动

Supplementary Activities

  1. AI创新大赛:鼓励学生运用所学知识,开发创新AI应用。
  2. AI Innovation Competition: Encourage students to apply their knowledge to develop innovative AI applications.
  3. AI伦理辩论赛:组织学生讨论AI伦理问题,培养批判性思维。
  4. AI Ethics Debate Competition: Organize students to discuss AI ethical issues, cultivating critical thinking.
  5. AI职业体验日:邀请AI领域专业人士分享经验,帮助学生了解职业发展方向。
  6. AI Career Experience Day: Invite AI professionals to share experiences, helping students understand career development paths.
  7. AI技术讲座系列:定期邀请专家进行前沿AI技术分享。
  8. AI Technology Lecture Series: Regularly invite experts to share cutting-edge AI technologies.

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