NGSS Progression Matrix for Smart Servo Curriculum

The Smart Servo Curriculum's NGSS Progression Matrix provides a comprehensive framework for developing scientific and engineering skills across K-12 education through assistive technology design. By systematically mapping the development of Science and Engineering Practices, Engineering and Technology Core Ideas, and Cross-Cutting Concepts across grade bands (K-2, 3-5, 6-8, 9-10, 11-12), the curriculum creates a structured approach to learning. Students progressively build skills from basic introduction (I) to developing (D), mastering (M), and ultimately achieving advanced application (A), with a focus on hands-on, project-based learning that emphasizes human-centered design, iterative prototyping, interdisciplinary problem-solving, and real-world technological applications in assistive technology development.

Key to Understanding the Matrix

Alignment Legend

Hover over any standard for detailed information about its progression and alignment with smart servo lessons.


NGSS Core Ideas

This matrix maps the progression of NGSS Core Ideas for Engineering, Technology, and Applications of Science across grade bands (K-2, 3-5, 6-8, 9-10, 11-12) for the smart servo assistive technology curriculum.

Engineering Design (ETS1)

CORE IDEA K-2 3-5 6-8 9-10 11-12
Define Design Problem

Core Idea Description

Students define and clarify design problems, specifying criteria and constraints for potential solutions.

Alignment with Smart Servo

Strong Alignment
Smart servo projects focus on assistive technology design, requiring students to precisely define user needs, functional requirements, and design constraints.

Key Concepts

Problem identification, user needs analysis, design specifications, constraint recognition
I D M A A
Generate and Test Design Solutions

Core Idea Description

Students develop multiple solutions, test them systematically, and evaluate their effectiveness against specified criteria.

Alignment with Smart Servo

Strong Alignment
Iterative prototyping is central to smart servo projects. Students create multiple design iterations, test functionality, and refine solutions based on user feedback.

Key Concepts

Prototyping, systematic testing, iterative design, solution evaluation
I D M A A
Optimize Design Solution

Core Idea Description

Students refine and improve design solutions, balancing multiple criteria and addressing potential trade-offs.

Alignment with Smart Servo

Moderate Alignment
Smart servo projects involve optimization, but may require additional guidance to fully explore complex trade-offs and systematic improvement strategies.

Key Concepts

Performance improvement, trade-off analysis, design refinement, multi-criteria optimization
I D M

Links Among Engineering, Technology, Science, and Society (ETS2)

CORE IDEA K-2 3-5 6-8 9-10 11-12
Technology's Impact on Society

Core Idea Description

Understand how technological developments influence and are influenced by society, including potential positive and negative impacts.

Alignment with Smart Servo

Strong Alignment
Assistive technology design directly addresses societal needs, encouraging students to consider technology's broader social implications and human-centered design principles.

Key Concepts

Social impact, accessibility, technological ethics, human-centered design
I D M A A
Technology's Role in Solving Problems

Core Idea Description

Explore how technological solutions can address complex societal challenges and improve human capabilities.

Alignment with Smart Servo

Strong Alignment
Smart servo projects are fundamentally about developing technological solutions to real-world accessibility and assistive technology challenges.

Key Concepts

Problem-solving, innovation, technological intervention, user empowerment
I D M A A
Ethical Considerations in Technology

Core Idea Description

Analyze the ethical implications of technological developments, considering social, environmental, and human factors.

Alignment with Smart Servo

Moderate Alignment
While assistive technology projects inherently involve ethical design, explicit ethical discussions may require additional facilitation and structured reflection.

Key Concepts

Technological ethics, design responsibility, stakeholder considerations, human rights
I D M

NGSS Science and Engineering Practices

This matrix maps the progression of Next Generation Science Standards (NGSS) Science and Engineering Practices across grade bands (K-2, 3-5, 6-8, 9-10, 11-12) for the smart servo assistive technology curriculum.

1. Asking Questions and Defining Problems

PRACTICE K-2 3-5 6-8 9-10 11-12
Identify testable questions

Practice Description

Develop skills in formulating scientifically investigatable questions that can be empirically tested.

Alignment with Smart Servo

Strong Alignment
Smart servo projects require students to identify specific user needs and translate them into testable design questions about assistive technology functionality.

Key Concepts

Scientific inquiry, problem definition, user-centered design, empirical testing
I D M A A
Define design problems

Practice Description

Articulate specific design challenges with clear parameters and constraints.

Alignment with Smart Servo

Strong Alignment
Assistive technology design inherently requires students to define precise design problems based on user needs, mechanical constraints, and technological capabilities.

Key Concepts

Problem framing, user requirements, technological constraints, design specifications
I D M A A
Specify criteria and constraints

Practice Description

Establish clear, measurable parameters that define success for a design solution.

Alignment with Smart Servo

Moderate Alignment
Smart servo projects involve specifying technical constraints, but additional guided activities may be needed to develop comprehensive criteria-setting skills.

Key Concepts

Design parameters, performance metrics, technical limitations, user-centered evaluation
I D M A

2. Developing and Using Models

PRACTICE K-2 3-5 6-8 9-10 11-12
Use models to represent phenomena

Practice Description

Create and use models to represent scientific phenomena and design processes.

Alignment with Smart Servo

Strong Alignment
Smart servo projects require students to create models of assistive technology solutions, including schematic diagrams, functional prototypes, and computational models.

Key Concepts

Representational thinking, abstraction, design visualization, prototype modeling
I D M A A
Develop physical and computational models

Practice Description

Create both physical prototypes and computational simulations to explore design solutions.

Alignment with Smart Servo

Strong Alignment
Smart servo curriculum emphasizes both physical prototyping (mechanical design) and computational modeling (programming and simulation).

Key Concepts

Prototype development, computational thinking, system simulation, iterative design
I D M A
Evaluate limitations of models

Practice Description

Critically analyze the strengths and weaknesses of scientific and engineering models.

Alignment with Smart Servo

Moderate Alignment
Smart servo projects provide opportunities to discuss model limitations, but explicit instruction may be needed to fully develop critical evaluation skills.

Key Concepts

Critical analysis, model boundaries, representational accuracy, design constraints
I D M

3. Planning and Carrying Out Investigations

PRACTICE K-2 3-5 6-8 9-10 11-12
Make observations

Practice Description

Systematically collect and record detailed observations during scientific and engineering processes.

Alignment with Smart Servo

Strong Alignment
User testing and prototype evaluation in smart servo projects require careful, systematic observation of device performance and user interaction.

Key Concepts

Systematic documentation, detailed recording, empirical evidence, user feedback
I D M A A
Conduct controlled experiments

Practice Description

Design and execute experiments with controlled variables to test hypotheses.

Alignment with Smart Servo

Moderate Alignment
Smart servo projects involve experimental testing, but structured experimental design may require additional guided activities to develop full proficiency.

Key Concepts

Experimental design, variable control, hypothesis testing, systematic evaluation
I D M A
Select appropriate tools and techniques

Practice Description

Choose and use appropriate scientific and engineering tools for specific investigations.

Alignment with Smart Servo

Strong Alignment
Smart servo curriculum requires students to select and use various tools including microcontrollers, programming interfaces, mechanical components, and testing equipment.

Key Concepts

Tool selection, technical proficiency, appropriate methodology, equipment use
I D M A

4. Analyzing and Interpreting Data

PRACTICE K-2 3-5 6-8 9-10 11-12
Use graphical displays of data

Practice Description

Create and interpret graphs, charts, and other visual representations of data.

Alignment with Smart Servo

Strong Alignment
Smart servo projects involve creating performance graphs, analyzing sensor data, and visualizing prototype testing results.

Key Concepts

Data visualization, graphical interpretation, statistical representation, performance analysis
I D M A A
Use statistical methods

Practice Description

Apply statistical techniques to analyze and interpret scientific and engineering data.

Alignment with Smart Servo

Moderate Alignment
Smart servo projects provide opportunities for basic statistical analysis, but advanced statistical methods may require supplemental instruction.

Key Concepts

Descriptive statistics, data analysis, uncertainty quantification, performance metrics
I D M
Use computational tools for analysis

Practice Description

Leverage computational technologies for advanced data analysis and visualization.

Alignment with Smart Servo

Strong Alignment
Smart servo curriculum integrates computational tools through programming, data logging, and performance analysis using microcontrollers and software.

Key Concepts

Computational analysis, data processing, algorithmic thinking, digital tools
I D/M

5. Using Mathematical and Computational Thinking

PRACTICE K-2 3-5 6-8 9-10 11-12
Use computational thinking

Practice Description

Develop and use computational thinking to create and analyze systems, solve problems, and understand complex phenomena.

Smart Servo Alignment

Strong Alignment
Smart servo projects inherently require computational thinking through programming, creating algorithms for servo control, and developing innovative assistive technology solutions.

Key Learning Outcomes

  • Create logical sequences for device functionality
  • Develop problem-solving algorithms
  • Understand computational logic in practical applications
I D M A
Create algorithms

Practice Description

Develop and implement step-by-step instructions to solve problems or accomplish specific tasks.

Smart Servo Alignment

Strong Alignment
Smart servo programming requires students to create precise algorithms for controlling servo motors, managing input/output, and designing assistive technology solutions.

Key Learning Outcomes

  • Design sequential logic for device control
  • Implement decision-making processes in code
  • Optimize algorithmic efficiency
I D M

6. Constructing Explanations and Designing Solutions

PRACTICE K-2 3-5 6-8 9-10 11-12
Develop explanations based on evidence

Practice Description

Construct scientific explanations and design solutions using empirical evidence and scientific reasoning.

Smart Servo Alignment

Strong Alignment
Smart servo projects require students to document their design process, test hypotheses, and provide evidence-based explanations for their assistive technology solutions.

Key Learning Outcomes

  • Document design iterations
  • Analyze performance data
  • Justify design choices through evidence
I D M A A
Design solutions to problems

Practice Description

Create innovative solutions to scientific and technological challenges using systematic design approaches.

Smart Servo Alignment

Strong Alignment
The entire smart servo curriculum is centered on designing solutions for real-world accessibility challenges, making this practice core to the learning experience.

Key Learning Outcomes

  • Identify user needs
  • Develop creative technological solutions
  • Iterate and improve designs
I D M A A

7. Engaging in Argument from Evidence

PRACTICE K-2 3-5 6-8 9-10 11-12
Construct arguments from evidence

Practice Description

Build scientific arguments using valid reasoning and empirical evidence to support claims.

Smart Servo Alignment

Moderate Alignment
Smart servo projects involve documenting design choices and performance, but explicit argumentation may require additional guided instruction.

Key Learning Outcomes

  • Use performance data to support design decisions
  • Compare alternative design approaches
  • Critically evaluate technological solutions
I D M A

8. Obtaining, Evaluating, and Communicating Information

PRACTICE K-2 3-5 6-8 9-10 11-12
Read scientific texts

Practice Description

Comprehend and critically analyze scientific and technical texts to extract key information.

Smart Servo Alignment

Moderate Alignment
Smart servo projects involve reading technical documentation, datasheets, and programming guides, which supports scientific text comprehension.

Key Learning Outcomes

  • Understand technical specifications
  • Interpret programming documentation
  • Extract relevant information from complex texts
I D M A A
Communicate scientific information

Practice Description

Present scientific and technical information through various media and formats.

Smart Servo Alignment

Strong Alignment
Smart servo projects require extensive documentation, presentations, and demonstrations of assistive technology solutions.

Key Learning Outcomes

  • Create technical documentation
  • Present design processes
  • Communicate complex technological concepts
I D M A A

NGSS Cross-Cutting Concepts

This matrix illustrates the progression of Cross-Cutting Concepts across grade bands (K-2, 3-5, 6-8, 9-10, 11-12) for the Smart Servo Assistive Technology Curriculum. Cross-cutting concepts provide an organizational schema for integrating a range of scientific and engineering practices.

CONCEPT K-2 3-5 6-8 9-10 11-12
1. Patterns

Concept Description

Recognizing and analyzing patterns in observations, predictions, and understanding complex systems.

Alignment with Smart Servo

Strong Alignment
Smart Servo projects inherently involve pattern recognition through:
  • Analyzing user interaction patterns
  • Identifying repetitive mechanical movements
  • Recognizing input-output relationships in programming
  • Predicting system behaviors based on established patterns

Key Concepts

Predictive modeling, systemic thinking, algorithmic pattern recognition
I D M A A
2. Cause and Effect

Concept Description

Understanding the mechanisms and relationships between causes and their effects in natural and designed systems.

Alignment with Smart Servo

Strong Alignment
Smart Servo projects deeply engage cause and effect through:
  • Analyzing how code changes affect servo movement
  • Understanding input mechanisms and their outcomes
  • Exploring user interaction and device response
  • Investigating mechanical design and functional performance

Key Concepts

Mechanical causality, programming logic, system responsiveness
I D M A A
3. Scale, Proportion, and Quantity

Concept Description

Understanding relative sizes, proportional relationships, and quantitative reasoning across different scales.

Alignment with Smart Servo

Moderate Alignment
Smart Servo projects involve scale and proportion through:
  • Servo motor torque and movement calculations
  • Mechanical design considerations
  • Power and energy consumption
  • Microcontroller processing capabilities

Key Concepts

Mechanical scaling, electrical power management, proportional design
I D M A A
4. Systems and System Models

Concept Description

Creating and using models to understand complex systems, their components, and interactions.

Alignment with Smart Servo

Strong Alignment
Smart Servo projects are fundamentally about systems thinking:
  • Modeling assistive technology as integrated systems
  • Understanding component interactions
  • Designing feedback mechanisms
  • Analyzing human-technology interfaces

Key Concepts

System design, component integration, feedback loops
I D M A A
5. Energy and Matter

Concept Description

Tracking the flow and transformation of energy and matter within systems.

Alignment with Smart Servo

Moderate Alignment
Smart Servo projects engage energy and matter through:
  • Battery and power management
  • Servo motor energy conversion
  • Electrical to mechanical energy transformation
  • Heat generation and thermal management

Key Concepts

Energy transformation, power efficiency, electrical systems
I D M A A
6. Structure and Function

Concept Description

Understanding how the design and arrangement of parts enables specific functions.

Alignment with Smart Servo

Strong Alignment
Smart Servo projects deeply explore structure and function:
  • Designing mechanical attachments
  • Understanding servo motor mechanics
  • Creating adaptive interfaces
  • Optimizing device functionality

Key Concepts

Mechanical design, functional optimization, adaptive engineering
I D M A A
7. Stability and Change

Concept Description

Examining how systems maintain stability and how they change over time.

Alignment with Smart Servo

Moderate Alignment
Smart Servo projects address stability and change through:
  • Feedback control mechanisms
  • Predictive system behaviors
  • Adaptive device programming
  • Long-term system reliability

Key Concepts

Control systems, adaptive programming, system resilience
I D M A A