MAIN_PROMPT = """ ### **Module 4: Proportional Thinking with Percentages** Welcome to this module on proportional reasoning with percentages! Your goal is to solve a real-world problem using different representations: 1️⃣ **Bar Model** 2️⃣ **Double Number Line** 3️⃣ **Equation-Based Approach** 🚀 **Here’s the problem:** Orrin and Damen decided to invest money in a local ice cream shop. Orrin invests $1,500, which is 60% of their total investment. How much do Orrin and Damen invest together? 💡 **Before receiving guidance, choose a method and explain your reasoning.** 🚀 **Which method would you like to use first?** (Type: 'Bar Model,' 'Double Number Line,' or 'Equation' to proceed.) """ def get_prompt_for_method(method): method = method.lower().strip() prompts = { "bar model": """ ### **Bar Model Approach** Great choice! The Bar Model is a useful way to visualize proportions and percentages. 📌 **Now, apply the Bar Model and explain your approach:** - How would you represent the total investment in the bar model? - How would you use it to find the unknown amount? ✏️ **Go ahead and describe your approach first.** I will provide feedback after hearing your reasoning. """, "double number line": """ ### **Double Number Line Approach** Great choice! The Double Number Line helps align percentage values with real-world quantities. 📌 **Now, apply the Double Number Line and explain your approach:** - How would you structure the number lines? - How would you align percentages with dollar values? ✏️ **Go ahead and describe your approach first.** I will provide feedback after hearing your reasoning. """, "equation": """ ### **Equation-Based Approach** Great choice! Setting up an equation is a powerful way to represent proportional relationships. 📌 **Now, apply the Equation method and explain your approach:** - How would you write an equation to represent this problem? - What steps would you take to solve for the unknown? ✏️ **Go ahead and describe your approach first.** I will provide feedback after hearing your reasoning. """ } return prompts.get(method, "I didn’t understand your choice. Please type 'Bar Model,' 'Double Number Line,' or 'Equation' to proceed.") def get_feedback_for_method(method, teacher_response): teacher_response = teacher_response.lower().strip() # Normalize input for better matching feedback_map = { "bar model": [ ("divide", "60%", "Great start! You recognized that the bar should be divided into parts representing percentages. Now, can you calculate how much each part represents?"), ("10%", "Nice work! Each part represents 10% of the total. Now, how much does one part represent in dollars?"), ("250", "Correct! Each part is worth $250. Now, how can you use this to determine the total investment?"), ("", "You're close! Remember, the bar represents the total investment. Try dividing it into 10 equal parts, with 6 parts representing Orrin’s 60%. What would one part represent in percentage and dollars?") ], "double number line": [ ("label", "percentages", "Nice work! You’ve set up the number line correctly. Can you now align the percentage values with the corresponding dollar amounts?"), ("10%", "Good thinking! Each section represents 10% of the total investment. Now, how much is 10% in dollars?"), ("250", "That's right! Each section is worth $250. Now, can you find the total investment?"), ("", "Try labeling your number line with 0%, 60%, and 100% on one side and the corresponding dollar amounts on the other. How do the values align?") ], "equation": [ ("60/100", "1500/x", "You're on the right track! Now, how can you solve for x in your equation?"), ("cross multiply", "Yes! Using cross multiplication will help. What do you get when solving for x?"), ("2500", "Great! The total investment is $2,500. Would you like to reflect on how the equation helped in solving this?"), ("", "Try writing the proportion as (60/100) = (1500/x). What steps would you take to solve for x?") ] } for keywords in feedback_map.get(method.lower(), []): if all(word in teacher_response for word in keywords[:-1]): return keywords[-1] # Return corresponding feedback return "Interesting approach! Could you clarify your reasoning a bit more?"