Chapter-wise AI-Supported Exploration
Tasks for Students to Explore with AI (Science - Semester 1)
| Chapter | Foundational Level | Analytical Level | Creative Level |
|---|---|---|---|
| Chapter 1: Scientific Inquiry and Intelligent Systems | • Define hypothesis with examples. • List steps of the scientific method. |
• Compare the scientific method with machine learning steps. • Analyse a sample experiment and identify dependent and independent variables. |
• Design a simple experiment and prepare a structured data table. • Create a flowchart comparing scientific investigation and AI training process. |
| Chapter 2: Force, Motion and Intelligent Machines | • Identify contact and non-contact forces. • State Newton's laws in simple terms. |
• Analyse the relationship between force, mass and motion using examples. • Interpret a force - motion data table. |
• Build and test a balloon rocket model. • Design a simple robot movement plan based on applied forces. |
| Chapter 3: Matter, Particles, and Smart Modelling | • Draw and lable particle diagrams of solids, liquids, and gases. • Define diffusion with examples |
• Explain diffusion using particle theory with diagrams. • Analyse how temperature affects particle movement. |
• Create a stop-motion or digital animation showint particle movement. • Design a classroom demonstration for diffusion. |
| Chapter 4: Pressure, Weather and Interpretation | • Define Pressure and Write its formula. • Identify instruments used to measure weather. |
• Interpret a weather data table to identify trends. | • Create a working cyclone model. • Design a weather-report presentation using collected data. |
| Chapter 5: Solutes, Solvents and Solutions. | • Define solute, solvent, and solution with examples. • Differentiate between saturated and unsaturated solutions. |
• Analyse how temperature affects solubility using a data table. • Compare concentration changes with data input in an AI mode. |
• Design and record a simple solubility experiment with an observation table. • Create a visual model showing particle mixing the microscopic level. |
| Chapter 6: Cells, Microorganisms, and Classification Systems. | • Label parts of plant and animal cells. • Define microorganisms with examples. |
• Compare plant and animal cells using a table. • Analyse the role of microorganism in food and health |
• Design a 3D cell model with labelled parts. • Create an AI-based cell classifier concept using observable features. |
| Chapter 7: Health, Immunity, and Predictive Awareness | • Define immunity and vaccination. • List common communicalbe diseases. |
• Analyse dengue or seasonal disease data to identify trends. • Compare natural and artificial immunity. |
• Create a community awareness campaign poster. • Design a health data tracking chart. |
| Chapter 8: How Nature works in Harmony | • Define ecosystem, habitat, biotic and abiotic components • List parts of an ecosystem: population, community, food chain, food web, tropic levels and decomposers. |
• Compare a natural ecosystem with AI system in terms of components and interactions. • Analyse a food chain and predict what happens if once species decreases in number. |
• Draw or design a food web diagram and show how energy flows in ecosystem. • Create a simple model or presentation showing how AI helps in monitoring ecosystems. |
