Introduction to Project - Discuss the essential question and outline the objectives of analyzing the school's recycling program using mathematical tools and strategies (15 min)

School-wide Waste Audit - Conduct a waste audit by collecting and categorizing recyclable materials from designated areas to gather initial data (30 min)

Data Organization and Initial Analysis - Organize collected data into categories and begin creating basic visual representations such as bar graphs or pie charts to identify patterns (25 min)

Reflection and Group Discussion - Reflect on the data collection process and discuss initial findings and observations in groups (20 min)

Deep Dive into Data Visualization - Introduce advanced data visualization techniques such as histograms or line graphs to further analyze recycling patterns (20 min)

Create Detailed Graphs - Use tools like graph paper or digital software to create accurate and detailed visual representations of the recycling data (25 min)

Exploring Mathematical Models - Learn about simple mathematical models that can be used to predict recycling trends or outcomes (20 min)

Model Application - Apply a mathematical model to the data collected to make predictions about potential improvements in the recycling program (25 min)

Strategic Planning Session - In groups, brainstorm actionable strategies to improve the recycling program based on data analysis and model predictions (25 min)

Reflection and Individual Assessment - Reflect on the week's learning and complete an individual assessment on the application of mathematical tools and strategies (20 min)

Data Interpretation and Pattern Recognition - Analyze detailed graphs from Week 1 to identify structural patterns and predict outcomes for recycling improvements (20 min)

Group Collaboration Session - Work in teams to discuss findings and refine predictions by applying mathematical models and reasoning (25 min)

Proposal Development Workshop - Begin drafting proposals for recycling program improvements based on data analysis and model predictions (25 min)

Peer Review and Feedback - Exchange proposals with peers for feedback and suggestions to enhance clarity and precision (20 min)

Digital Presentation Design - Use digital tools to create visual presentations that effectively communicate data-driven recommendations (25 min)

Poster Creation - Design physical posters that showcase data visualizations and proposed recycling improvements (20 min)

Final Presentation Preparation - Practice presenting proposals and visual models to ensure clarity and precision (20 min)

Reflection and Self-assessment - Reflect on the project process, assess individual contributions, and articulate learnings (25 min)

Exhibition Setup - Arrange visual models and posters for the school-wide exhibition, ensuring interactive stations are ready (20 min)

Public Presentation - Present proposals and findings to the school community, engaging with attendees and answering questions (25 min)