2. Which processes are not represented? How the model could be altered to include these process.
Huh??
All three of my questions go together. Sorry I did not put it in order. The two processes are evaporation and condensation using a jar and petri dish experiment.
To identify which processes are not represented in a model, you need to analyze the existing model and compare it to the actual system or situation it represents. Here's how you can go about it:
1. Review the existing model: Start by examining the current model and its components, such as boxes, arrows, and labels. Understand the purpose and functionality of each element within the model.
2. Understand the system or situation: Gain a thorough understanding of the system or situation being modeled. Identify all the critical processes, activities, or functions involved. Consider both the internal and external factors that might influence the system.
3. Compare the model with the system: Compare the processes represented in the current model with the identified processes in the actual system. Look for any gaps or discrepancies between the two.
4. Identify missing processes: Based on the comparison, note down the processes that are not represented in the model. These could be any essential activities or functions that play a significant role in the system but are not accounted for in the current model.
Once you have identified the missing processes, you can modify the model to include them. Here are a few ways to alter the model:
1. Add new boxes: Introduce new boxes in the model to represent the missing processes. Each box should capture a specific process or activity that was previously not depicted.
2. Connect arrows: Identify the relationships between the existing and missing processes. Add arrows to connect the newly introduced boxes with the existing ones, indicating the flow of information, materials, or actions.
3. Modify labels: Update the labels or descriptions of existing boxes or arrows to reflect the newly added processes. This will help ensure clarity and consistency in the model.
4. Reassess the model: Once the required alterations have been made, review and validate the modified model. Ensure that it accurately represents all the processes within the system and effectively communicates the intended information.
Remember, modeling is an iterative process, so it is crucial to receive feedback from stakeholders or domain experts to refine and improve the model continuously.