Parts, Purposes & Simple Designs
Systems as connected parts, basic design steps, simple machines, everyday materials, stable shapes, energy sources, ordered coding steps, device input/output, simple tests, and labeled sketches.

A full NYA pathway for technological systems, engineering design, simple machines, materials, structures, energy and control, coding, digital systems, testing, iteration, and evidence-based problem solving. Students learn how engineered solutions are planned, built, measured, improved, and communicated.
Systems as connected parts, basic design steps, simple machines, everyday materials, stable shapes, energy sources, ordered coding steps, device input/output, simple tests, and labeled sketches.
Component functions, criteria and constraints, mechanisms, material properties, structural supports, controls, loops and conditions, digital component roles, fair comparisons, and engineering records.
System failures, prototype revision, force and motion evidence, materials tests, load tests, energy output, debugging, digital function tests, controlled trials, tables, graphs and reproducible documentation.
Input-process-output models, design decisions, mechanical trade-offs, material selection, structural comparisons, sensor control, computational improvement, digital reliability, criteria/constraint balance and technical justification.
System diagnosis, design trade-offs, efficiency, material decisions, failure analysis, energy optimization, software reliability, digital documentation, test variation, decision matrices and evidence-based design reviews.
Connected parts, component functions, inputs, outputs, interactions, feedback, failure modes and system optimization.
Define problems, identify criteria and constraints, generate ideas, plan, prototype, test, improve and communicate.
Inclined planes, levers, pulleys, wheel-and-axle systems, wedges, screws, gears, compound mechanisms and mechanical trade-offs.
Strength, stiffness, flexibility, conductivity, insulation, transparency, toughness, water resistance, cost and material selection.
Loads, support, bracing, triangles, trusses, arches, columns, joints, counterweights, load paths and failure analysis.
Energy sources, transfers, motors, circuits, switches, sensors, controls, feedback, useful output and efficiency.
Algorithms, sequences, loops, conditions, variables, debugging, decomposition, events, sensor inputs and efficient logic.
Input, output, storage, sensors, networks, data flow, digital communication, reliability, privacy and security.
Criteria, constraints, fair tests, measurements, repeated trials, variation, iteration, trade-offs and evidence-based revision.
Sketches, dimensions, tables, graphs, flowcharts, scale drawings, design briefs, test reports, decision matrices and revision logs.
The mastery exam measures engineering knowledge and reasoning. The Design Challenge Lab adds hands-on evidence: criteria, constraints, planning, building, testing, measurement, improvement and explanation.
Build a paper bridge that spans a gap and supports toy blocks. Test, count, improve.
Build a safe ramp that moves a toy car toward a target without leaving the track.
Create a free-standing tower under a material limit and improve its stability.
Design a lightweight protector that reduces damage during a controlled drop.
Build a vehicle that travels using moving air, then compare design revisions.
Create a classroom-safe filter model and measure changes in visible clarity.
Plan a light-control system using sensor input, a decision rule, and output.
Compare structural patterns while holding material amount constant.
Design a sensor-control concept for soil moisture, pumping and status feedback.
Develop a rover algorithm, test path reliability, debug, and optimize the solution.
The final examination reports performance across all ten Technology & Engineering domains and connects to NYA Learning Intelligence for browser-local mastery, growth and next-step recommendations.
Grade 1: 50 questions · Grade 2: 60 · Grade 3: 70 · Grade 4: 80 · Grade 5: 90.
Final Step: Open Mastery Examination