THE SOLVERSMIND METHOD
01
Hands-on engineering
Students build, program, test, and repair real systems. Physical evidence makes ideas concrete and turns mistakes into useful feedback.
02
Project-based learning
Robot Game and Innovation Project work connect coding, mechanics, research, documentation, teamwork, and presentation around one shared goal.
03
First-principles thinking
Students break complex missions into constraints, forces, timing, geometry, and controllable steps before choosing a design.
04
Critical thinking and iteration
Teams compare evidence, challenge assumptions, run repeatable tests, and improve designs instead of defending the first idea.
05
The Feynman technique
Students explain a mechanism or concept in simple language. Gaps become visible quickly, improving understanding and judging-room communication.
06
Agency and ownership
Students choose roles, make trade-offs, document decisions, and learn to rely on one another. Motivation grows because the work is genuinely theirs.
Off-season: teach the hard skills
Year-round training creates time for direct instruction in coding, mechanics, research, technical writing, presentation, and systematic testing. Students can practise deeply without a tournament deadline driving every decision.
Competition season: 100% student work
Coaches guide through questions, safety, reflection, and FIRST values, but students own the robot, code, project, strategy, documentation, and presentation. Competition results reflect their decisions and their work.
A MODEL PROVEN IN COMPETITION
27
recorded awards
6
FLL seasons
2
Ontario titles
2
World finalists
The provincial Champion’s Awards and World Festival finalist honors are distinct achievements. Linked rows open the corresponding official FIRST results.
From FLL to FTC and FRC
FLL builds the operating habits required by larger robots and more complex teams: requirements, prototyping, programming, test plans, documentation, design reviews, role ownership, and calm communication under pressure. Students who internalize these habits can enter FTC and FRC ready to take meaningful responsibility and increasingly run technical work themselves.
More Than Robots
Younger students are preparing for more than the next robotics level. They develop agency, motivation, empathy, resilience, teamwork, and the confidence to communicate ideas. Dahai Zhang’s long-term vision is to nurture future engineering sales leaders: people with a solid STEM foundation who can listen, understand others, and explain complex ideas clearly in an AI era where communication and empathy are meta-skills.
Is SolversMind FLL training year-round?
Yes. Off-season sessions develop hard skills without tournament pressure, while the competition season asks students to apply those skills through authentic team-owned work.
Do coaches build the robot or Innovation Project?
No. Coaches teach, question, safeguard, and help students reflect. The competition robot, code, project, strategy, documentation, and presentation are student work.
Why use the Feynman technique in robotics?
Explaining a mechanism, algorithm, or research claim in plain language exposes gaps in understanding. Students learn the subject more deeply and communicate more confidently with teammates and judges.
Does FLL prepare students for FTC and FRC?
Yes. FLL develops the engineering process, teamwork, technical communication, and ownership needed for advanced robotics. Students arrive ready to contribute rather than waiting to be directed.