Introduction to Scientific Model grade 7.pptx

highlights the types of scientific model

1. Unit 1: Science of Materials Chapter 1: The Nature of Science 1 st Quarter

2. Let’s test your Knowledge 1. Why is the Scientific Method an important process in doing experiments? It ensures that the people doing the experiments are scientific. It ensures that the results can be trusted and repeated. It takes more work but it's worth it. It helps the experiment to take longer and be better.

3. Let’s test your Knowledge 2. To gather information, we can... read books ask questions use our senses to study things do all of these

4. Let’s test your Knowledge 3. Our recorded observations are called... data control factors hypotheses experiments

5. Introduction to Scientific Models

6. Introduction to Scientific Models

7. Objects that are too small to see – MODEL OF AN ATOM OR A CELL

8. Objects that are too big to see - MODEL OF THE PLANET

9. Objects that are no longer exist - MODEL OF A DINOSAUR

10. Objects that have not yet been invented - MODEL OF ROBOT

11. Events that occur too slowly to see- MODEL OF MOUNTAIN FORMATION

12. Events that occur too fast to see - MODEL OF EARTHQUAKE

13. G enerally held judgment, position, and opinion of the majority or the supermajority of scientists in a particular field of study at any particular time.

14. How do physical and conceptual models differ?

15. How do physical and conceptual models differ?

16. Characteristics of Effective Models Effective models are accurate, testable, and adaptable. Accuracy Models should accurately reflect the real-world phenomenon they represent. Models should be able to be tested against real-world data. Testability Adaptability Models should be able to be modified and improved as new data becomes available.

17. Evaluating and Validating Scientific Models Validation is a crucial step in determining a model's usefulness. Testing Models are tested against real-world data to assess their accuracy. Comparison Models are compared with other models to evaluate their relative strengths and weaknesses. Refinement Models are refined and improved based on the results of validation.

18. Limitations and Assumptions of Models Models are simplified representations and cannot perfectly capture the complexity of the real world. Simplification Models omit some details and make assumptions to simplify the system. Limited Scope Models often focus on a specific aspect of a phenomenon, limiting their application. Uncertainty Models are based on incomplete knowledge and data, leading to uncertainty in predictions.

19. Conclusion: The Importance of Scientific Models Scientific models are essential tools for understanding and explaining the natural world. Understanding Complex Systems Models help us visualize and comprehend complex phenomena. Scientific Inquiry Models are crucial for conducting experiments and testing hypotheses. Making Predictions Models allow us to make predictions about future events. Education and Communication Models aid in teaching and explaining complex scientific concepts.

20. Quick Quiz 1-1 Matching Type Column 1 Column 2 1. Used computer software to study and simulate complex system. A. Scientific Model 2. Quantitatively represent relationships, patterns, and behaviors using equation B. Physical Model 3. Model that have been extensively tested and generally accepted by the scientific community C. Conceptual Model 4. Used of familiar objects or expressions to present a concept or an abstract and complicated idea. D. Computer Model 5. Life-size replicas or scale models which are smaller than the original objects but otherwise identical E. Mathematical model 6. Representations of concepts, systems or ideas. F. Consensus model