Length: 2 Days
AI Fundamentals for Kids (AIFK) is a certification course designed to introduce children to the exciting world of artificial intelligence (AI). Tailored specifically for younger learners, this course covers fundamental AI concepts, ethical considerations, and provides hands-on experience with simple AI project creations. AIFK aims to inspire interest in technology from an early age, nurturing the next generation of innovators and problem solvers.
Learning Objectives:
- Understand the basic concepts of artificial intelligence.
- Learn about the ethical use of AI technology.
- Gain hands-on experience in creating simple AI projects.
- Cultivate critical thinking and problem-solving skills.
- Foster creativity and innovation in young minds.
- Develop a foundation for further exploration and learning in the field of AI.
Audience: Children aged 8-12 with an interest in technology and a desire to learn about artificial intelligence in a fun and engaging way.
Module 1: Introduction to AI
- What is AI?
- AI in everyday life
- AI pioneers
- Types of AI
- Benefits of AI
- AI misconceptions
Module 2: Understanding AI Ethics
- Importance of AI ethics
- Fairness in AI
- Transparency in AI
- Accountability in AI
- Bias in AI
- Responsible AI use
Module 3: Basic AI Concepts
- Introduction to machine learning
- How AI learns
- Algorithms in AI
- Data in AI
- Training vs. testing data
- Supervised vs. unsupervised learning
Module 4: Hands-on AI Projects
- Building a chatbot
- Creating a simple image recognition program
- Designing a recommendation system
- Developing a virtual assistant
- Constructing a basic game using AI
- Implementing a voice recognition project
Module 5: Exploring AI Applications
- AI in gaming and entertainment
- AI in healthcare
- AI in education
- AI in transportation
- AI in finance
- AI in agriculture
Module 6: Future of AI
- The potential of AI in the future
- Ethical considerations in future AI advancements
- AI and automation
- AI and employment
- AI and societal impacts
- Challenges and opportunities in the future of AI
Exam Domains:
- Introduction to AI
- Basics of Machine Learning
- Applications of AI in Daily Life
- Ethical Considerations in AI
Question Types:
- Multiple Choice: Questions with four options where one is correct.
- True/False: Statements where students mark whether they are true or false.
- Fill in the Blank: Sentences with missing words to be filled by students.
- Matching: Pairing items from two columns that correspond to each other.
- Short Answer: Questions requiring brief written responses.
- Scenario-based: Providing a scenario and asking questions related to it.
- Essay: Open-ended questions requiring longer written responses.
Passing Criteria: To pass the exam, students must:
- Achieve a score of at least 70%.
- Demonstrate understanding across all exam domains.
- Successfully answer a minimum number of questions in each domain.
- Provide satisfactory responses to scenario-based and essay questions, as judged by the instructor or examiner.