Introduce the project objectives, the essential question, and the role of microbits and cutebots in vehicle safety

Interact with industry experts demonstrating automotive safety technologies, gaining insights into practical applications

Engage in interactive experiments to understand Newton's Third Law, laying the groundwork for collision prevention designs

Learn the fundamentals of microbits and cutebots, focusing on setup and basic programming

Begin coding simple programs for microbits to detect contact forces and gather data

Document initial thoughts and feelings about the project and new technologies learned

Discuss real-world applications of Newton's Third Law with a local car company representative

Develop a basic code to control cutebots and simulate simple collision scenarios

Share initial coding efforts with classmates for feedback and suggestions

Enhance coding skills by integrating sensors with microbits to detect contact forces and adjust vehicle motion

Use cutebots to collect and analyze real-time data on collision scenarios, focusing on kinetic energy and mass

Reflect on the progress made with coding and data analysis, noting challenges and breakthroughs

Work in teams to brainstorm and prototype innovative collision prevention models using microbits and cutebots

Present initial designs to a local car company representative for expert feedback and insights

Engage in a peer review session to offer constructive feedback on design prototypes, suggesting improvements

Conduct testing sessions to refine collision prevention models based on collected data and feedback

Construct graphs to interpret the relationship between kinetic energy, speed, and mass in collision scenarios

Compile coding progress and data analysis into a digital portfolio, emphasizing growth and areas of success

Implement advanced programming logic to optimize cutebot responses to detected contact forces, focusing on real-time adjustments

Gather and analyze live data from cutebots during simulated collision tests, examining patterns in kinetic energy and motion changes

Reflect on coding advancements and data insights, documenting challenges and solutions encountered

Collaborate in teams to integrate feedback from previous sessions into improved collision prevention models, refining code and design prototypes

Present refined models to industry experts for further feedback, focusing on alignment with real-world safety standards

Conduct peer reviews to receive constructive critique on design improvements, fostering a culture of iterative development

Conduct testing sessions to evaluate model effectiveness, making iterative adjustments based on data and expert feedback

Create graphical representations of collected data to illustrate the relationship between kinetic energy, mass, and speed in collision scenarios

Update digital portfolios with refined models and data interpretations, highlighting growth and achievements throughout the project

Implement final code optimizations and adjustments to microbits and cutebots for enhanced collision prevention performance

Synthesize collected data into clear, graphical representations and prepare for the upcoming presentations

Conduct a peer-led session where students teach each other about their coding and design strategies, reinforcing understanding and receiving feedback

Organize the setup for the 'Collision Innovation Expo' and rehearse presentations, focusing on clarity and engagement

Present final models and data to industry experts, incorporating last-minute feedback into presentations

Reflect on the project journey, documenting personal growth, challenges overcome, and future applications of learning

Host the expo, where students present their projects to family, friends, and community partners, showcasing live demonstrations and data collection

Participate in a showcase at a local car dealership, presenting projects to industry experts and receiving professional insights