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Core Skills Analysis

Mathematics

The student measured wheel diameters, calculated gear ratios, and used those ratios to predict the speed and wobble frequency of each dog model. They applied proportional reasoning to adjust motor power settings and recorded data in a table, then plotted speed versus gear size to identify trends. By converting measurements from centimeters to meters, they reinforced unit‑conversion skills. Finally, they used basic statistics to compare the performance of different designs, calculating mean wobble amplitude and standard deviation.

Science

The student investigated principles of rotational motion, friction, and center of mass by building wobbledog robots with LEGO Education SPIKE. They hypothesized how changing the placement of weights would affect stability, then conducted experiments and observed the wobble patterns. Through systematic observation, they linked the concepts of torque and angular momentum to the dogs’ movement. Their conclusions demonstrated an understanding of cause‑and‑effect relationships in physical systems.

Design & Technologies

The student followed a design brief to create a functional, aesthetically appealing wobbledog, iterating through sketches, digital models, and physical prototypes. They evaluated each prototype against criteria such as durability, wobble frequency, and visual appeal, documenting design decisions in a portfolio. The activity required them to select appropriate LEGO components, plan assembly sequences, and modify designs based on test results. This process cultivated problem‑solving, creativity, and reflective practice.

Digital Technologies

Using the SPIKE Prime hub, the student programmed the robots with block‑based code to control motor speed, direction, and sensor feedback. They debugged logic errors by stepping through code, adding loops for repeated wobble cycles, and adjusting variables to fine‑tune performance. The activity introduced them to algorithmic thinking, sequencing, and event‑driven programming. They also documented their code with comments, demonstrating good coding conventions.

Tips

To deepen learning, have the student design a new wobble challenge where the dog must navigate a simple obstacle course, requiring adjustments to balance and speed. Introduce a data‑analysis mini‑project where they compare their robots’ performance to real‑world animals, creating infographics to communicate findings. Organize a peer‑review session where classmates critique each design using a rubric, encouraging collaborative feedback and iterative improvement. Finally, connect the project to a community service idea, such as building a demonstrative exhibit for a local science fair or school open day.

Book Recommendations

Learning Standards

  • Mathematics: ACMNA153 (Number and Algebra – apply ratios and proportions) and ACMSP166 (Statistics – analyse performance data).
  • Science: ACSIS166 (Physical Sciences – investigate forces and motion) and ACSIS170 (Science Inquiry Skills – plan and evaluate investigations).
  • Design & Technologies: ACTDEP051 (Design – develop and communicate design ideas) and ACTDEP053 (Produce – select materials and evaluate outcomes).
  • Digital Technologies: ACTDIP019 (Algorithms and Programming – create and debug simple programs) and ACTDIP021 (Data Representation – interpret sensor data).

Try This Next

  • Create a data‑collection worksheet that logs wheel size, gear ratio, motor power, wobble period, and measured distance traveled.
  • Design a quiz of 10 multiple‑choice questions covering gear ratios, torque, and basic programming structures used in the project.
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