Learning Goals & Products

Learning Goals

1

Students will be able to measure and represent horizontal contact forces acting on a self-propelled car to determine the direction and magnitude of net force.

2

Students will be able to analyze relationships among net force, mass, motion, and acceleration using Newton’s first law and F = ma.

3

Students will be able to collect and analyze repeated car-test measurements using averages, graphs, and simple acceleration calculations to evaluate predictable motion.

4

Students will be able to define measurable criteria and constraints, generate three self-propelled car concepts, and select a design using a weighted decision matrix.

5

Students will be able to evaluate and optimize a self-propelled car through controlled preliminary tests, peer or woodshop feedback, and evidence-based revision.

6

Students will be able to communicate and reflect on collaborative engineering decisions using concise visual evidence, shared responsibilities, and an individual self-assessment.

Products

individual

Individual Car Engineering Portfolio and Design Decision Organizer

Each student completes a concise organizer containing three annotated concepts, a weighted decision matrix, force and F = ma work, test-data analysis, an individual contribution record, and a brief final reflection. The student’s evaluated concepts must feed into the team’s design-selection discussion.

team

Self-Propelled Car Prototype, Performance Challenge, and School Display Card

Each team builds a safe self-propelled car, tests it for straight and predictable motion, uses data and post-it or woodshop feedback to complete at least one targeted revision, and enters the final competition. The car is exhibited with a one-page display card showing its force diagram, test graph, averages, acceleration calculation, design evidence, trade-offs, and limitations.

Rubric
Competency Progression Rubric Competency-first rubric
Category
Learning Goal
Stage 1
Stage 2
Stage 3
Stage 4
Deeper Learning Competencies
Critical Thinking & Problem Solving
  • I can identify a simple problem in the car challenge and try a teacher-guided solution by using basic force ideas, such as naming push or pull forces and telling whether motion looks balanced or unbalanced
  • I can use a partially completed organizer to record observations, with support, and share one idea about how the car could move more straight.
  • I can use force diagrams and net-force calculations with support to explain why a car moves straight, slows, or veers, and I can connect balanced and unbalanced forces to Newton’s first law
  • I can compare trial data, calculate a simple average, and use the results to suggest one change to improve the car.
  • I can independently analyze test data to explain how force, mass, and acceleration are related in my car design, and I can use F = ma and a graph to support my thinking
  • I can evaluate multiple design options, use feedback from peers or woodshop partners, and revise my car based on evidence.
  • I can apply scientific and engineering ideas flexibly to solve the design challenge by using force evidence, graphs, averages, and acceleration data to justify a refined car that moves straight and predictably
  • I can explain how my team’s choices improved performance, evaluate tradeoffs in the design, and clearly communicate our problem-solving process in the portfolio, display card, and competition presentation.
Deeper Learning Competencies
Collaboration
  • I can take part in a team design task by sharing ideas, listening to others, and helping my group make a simple plan for our self-propelled car
  • With support, I can follow team roles, use feedback from the teacher or peers, and help my group complete a basic build or test step.
  • I can work with my team to make shared decisions about our car design, testing, and revision, and I can explain my ideas using simple force vocabulary and test results
  • I can use peer or teacher feedback to improve my part of the work and help my group stay organized during planning, building, and testing.
  • I can collaborate with my team to compare ideas, solve problems during building and testing, and use evidence from our data to choose revisions
  • I can give and receive feedback respectfully, help my group divide tasks fairly, and explain how our design choices connect to balanced and unbalanced forces and predictable motion.
  • I can lead and contribute to a highly effective team process by helping my group make evidence-based decisions, resolve disagreements, and revise our car using test data and feedback
  • I can support my team in clearly documenting our collaboration, sharing our learning with others, and explaining how our design improved through shared problem solving and reflection.
Deeper Learning Competencies
Effective Communication
  • I can share a simple idea about my car test or force diagram when asked, using a few science words or a drawing to help others understand what I noticed
  • I can listen to feedback from a partner or teacher and add one helpful comment or change to my work.
  • I can explain my car’s motion with basic force language, including whether forces are balanced or unbalanced, and use a labeled diagram or short sentence to show my thinking
  • I can present test results such as distance, time, or average in a clear format and respond to feedback by making one or two specific revisions.
  • I can communicate my design process using evidence from my tests, including a force diagram, net force calculation, and a simple graph or table that helps others follow my results
  • I can clearly explain how feedback, averaging, and F = ma informed my car redesign and use respectful collaboration to share ideas and solve problems with my team.
  • I can present a clear, organized explanation of how my car design moved from first test to final version, connecting force diagrams, net force, averages, acceleration, and graph data to my design choices
  • I can confidently share my results with an audience, answer questions using evidence, and reflect on how feedback and teamwork improved the clarity and quality of my communication.
Deeper Learning Competencies
Self Directed Learning
  • I can use teacher-provided tools and checklists to complete my car tests, record measurements, and make simple changes after feedback
  • I can identify one strength or next step in my work and show that I used feedback to improve my car or portfolio.
  • I can follow a plan to test my car multiple times, organize my data, and revise my design with support from my team and teacher feedback
  • I can use a simple reflection to explain what I changed and how the changes affected my results.
  • I can independently use test data, averages, and peer or teacher feedback to make purposeful revisions to my car and explain why I made those choices
  • I can monitor my progress, keep my portfolio organized, and describe how my evidence connects to balanced and unbalanced forces, net force, or acceleration.
  • I can self-direct my design process by setting goals, using repeated test results, graphs, and force calculations to decide what to revise next
  • I can justify my final design choices with evidence, reflect on what I learned about motion and force, and clearly communicate how my revisions improved the car’s performance.
Deeper Learning Competencies
Content Expertise
  • I can identify common contact forces in my car tests, draw a simple force diagram with teacher support, and use given numbers to find whether forces are balanced or unbalanced
  • I can contribute basic observations and measurements to my team’s work and help record results in a simple organizer.
  • I can create a more accurate force diagram for my car, calculate net force by adding positive and negative forces, and explain whether the motion matches balanced or unbalanced forces
  • I can measure repeated trials, find an average, and use a provided graph or table format to show my results.
  • I can use evidence from my car tests to connect net force, mass, and acceleration using Newton’s first law and F = ma
  • I can organize repeated measurements, make a clear graph, and explain how my data helped my team revise the design for straighter, more predictable motion.
  • I can independently apply force analysis, net force calculations, averages, and graphs to evaluate and improve a self-propelled car that meets the challenge criteria
  • I can justify design choices with evidence from test data, explain how my results support Newton’s laws, and clearly communicate my learning in the portfolio and display card.