Courses Details

Course Description: This course aims to introduce students in grades 6 to 8 to the fundamental concepts of artificial intelligence (AI) in a fun and engaging manner. Students will learn about various applications of AI in everyday life, understand the basic principles behind AI algorithms, and develop critical thinking skills through hands-on activities and projects. The course will cover topics such as machine learning, robotics, natural language processing, and ethics in AI.

Study Plan:

Day1: Introduction to Artificial Intelligence

• Overview of AI and its significance in modern society
• Historical developments in AI
• Discussion on common misconceptions about AI

Day 2: Machine Learning Basics

• Understanding what machine learning is and how it differs from traditional programming
• Introduction to supervised, unsupervised, and reinforcement learning
• Hands-on activities with simple machine learning models using online platforms or coding environments like Scratch or Python (simplified)

Day 3: Robotics and AI

• Exploring the relationship between robotics and AI
• Introduction to basic robotics concepts such as sensors, actuators, and programming robots
• Hands-on robot programming activities using educational robotics kits or simulators

Day 4: Natural Language Processing (NLP)

• Introduction to NLP and its applications in everyday life (e.g., chatbots, virtual assistants)
• Basic concepts of text analysis, sentiment analysis, and language generation
• Hands-on activities creating simple chatbots or analyzing text data

Day 5: Ethics in AI

• Discussion on the ethical implications of AI technologies
• Understanding bias, fairness, and transparency in AI systems
• Role-playing scenarios and debates on ethical dilemmas related to AI

Day 6: Final Projects

• Students work on a final project applying concepts learned throughout the course
• Projects could include creating an AI-powered game, designing a simple AI-driven robot, or developing an AI-based solution to a real-world problem
• Presentation of final projects to the class

Assessment:

• Continuous assessment through quizzes, assignments, and participation in discussions
• Evaluation of final projects based on creativity, understanding of concepts, and presentation skills

Resources:

• Online tutorials and educational platforms
• Books and articles suitable for young learners
• Educational robotics kits and programming tools