
Public learning track
Scientific and Engineering Modeling
7th Grade · Science · Open Global Science
4 lessons
Goal
Develop, evaluate, and refine physical, conceptual, and mathematical models to explain systems and evaluate engineering designs.
4 lessons
0 of 4 done
- 1Types of Scientific Models: Physical, Mathematical and ConceptualUp nextStart
- 2Evaluating Scale, Fidelity, and Assumptions in ModelsPremiumNot started yet
- 3Evaluating and Refining Mathematical ModelsNot started yet
- 4Applying Scientific Models to Evaluate Engineering SolutionsNot started yet
Standards Covered
- OGS.8.SEP.5Open Global Science Standards 2026™ · Science · Level 8 / Grade 7 (Age 12) · Grade 7Develop, evaluate, and refine physical, conceptual, and mathematical models of systems and processes, analyzing their scale, fidelity, assumptions, and limitations.
- OGS.8.SEP.7Open Global Science Standards 2026™ · Science · Level 8 / Grade 7 (Age 12) · Grade 7Apply crosscutting concepts—including structure and function, matter cycling, energy conservation, stability, and change—to explain natural phenomena and engineer solutions to problems.
Curriculum Framework
7th Grade · Science · Open Global Science
1
5 lessons
Scientific Inquiry, Questions, Hypotheses, and Laws
Formulate testable scientific questions and engineering problems while distinguishing hypotheses, theories, and scientific laws.
2
5 lessons
Experimental Design, Variables, and Laboratory Safety
Plan and conduct controlled, comparative, and descriptive investigations adhering to rigorous laboratory safety practices.
3
5 lessons
SI Precision Measurement and Digital Data Acquisition
Collect high-precision quantitative SI data and systematic qualitative observations using analog and digital laboratory instruments.
4
5 lessons
Data Processing, Graphical Analysis, and Uncertainty
Process experimental data, construct linear and non-linear plots, calculate central tendencies, and quantify measurement uncertainty.
5
4 lessons
Scientific and Engineering Modeling
Develop, evaluate, and refine physical, conceptual, and mathematical models to explain systems and evaluate engineering designs.
6
4 lessons
Empirical Data Analysis and Error Evaluation
Analyze datasets and secondary literature to identify causal relationships, isolate anomalies, and evaluate scientific claims.
7
4 lessons
Crosscutting Concepts: Systems, Matter, and Energy
Apply crosscutting concepts such as structure and function, conservation of mass and energy, and dynamic equilibrium to explain natural systems.
8
5 lessons
Scientific Argumentation and Communication
Construct evidence-based arguments using the Claims-Evidence-Reasoning framework, cite sources, and engage in peer review.
9
4 lessons
Science in Society: History, Ethics, and STEM Careers
Evaluate the evolution of scientific knowledge over time, analyze ethical considerations in policy, and explore diverse STEM career pathways.