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ISTE Standard 5:

Computational Thinker

In this online project, Grade 8 students at Grandia Academy become computational thinkers by analyzing traffic data and designing a smart traffic light system. Using digital tools, they study traffic patterns, create models, and develop simple algorithms to solve congestion problems.

Designing a Smart Traffic Light System using Data and Modeling

Students act as junior data scientists and urban planners. They analyze traffic data from a fictional city and propose a solution to reduce congestion using computational thinking.

Learning Outcomes:

By the end of this project, students will be able to:

  • Collect, organize, and interpret data using digital tools.
  • Identify patterns and trends in traffic flow data.
  • Create a model (e.g., flowchart or simulation) to test traffic light timing strategies.
  • Develop an algorithm to optimize traffic signal changes.
  • Reflect on their problem-solving process and present their findings.

Teacher’s Role:

  • Provide students with a sample dataset (e.g., vehicle count at intersections during different times of day).
  • Guide students in using tools like Google Sheets, Lucidchart, or Scratch to analyze and model data.

Facilitate group discussions and reflection.

Assess students based on their computational thinking process and final presentation.

Student Task

1. Data Analysis:
  • Open the shared traffic data file in Google Sheets.
  • Calculate average vehicle counts per hour at each intersection.
  • Create charts to visualize traffic patterns.
  • Identify peak traffic hours and congestion points.
  • Write a short problem statement (e.g., “Intersection A experiences 40% more traffic at 8 AM than other times”).
  • Use Lucidchart or paper to draw a flowchart showing how traffic lights could change based on vehicle count.
  • Write a simple algorithm (e.g., “If cars > 50, then green light = 60 seconds; else = 30 seconds”).
  • Use Scratch to simulate traffic light changes based on your algorithm.
  • Test different scenarios and record results.
  • Create a Google Slides presentation with:
  • Data analysis findings
  • Your traffic light model
  • Algorithm explanation
  • Reflection on what worked and what didn’t

Submission Format:

  • Students submit a shared Google Drive folder containing:
  • Data analysis file (Sheets)
  • Flowchart (PDF or image)
  • Simulation (Scratch link or screen recording)
  • Presentation (Slides)