Public learning track
Scientific Modeling and Engineering Solutions
5th Grade · Science · Open Global Science
6 lessons
Goal
Build physical and digital models, evaluate their constraints, and iterate engineering solutions against design criteria.
Featured Diagrams
Types of Engineering Models: Physical, Digital, and Mathematical
6 lessons
0 of 6 done
- 1Types of Engineering Models: Physical, Digital, and MathematicalUp nextStart
- 2Constructing Physical Scale Models of Natural SystemsPremiumNot started yet
- 3Using Digital Models and Simulations to Test IdeasNot started yet
- 4Evaluating Limitations and Simplifications in Scientific ModelsNot started yet
- 5Testing Engineering Prototypes Against ConstraintsNot started yet
- 6Modifying a Model Based on Test ResultsNot started yet
Standards Covered
- OGS.6.SEP.3Open Global Science Standards 2026™ · Science · Level 6 / Grade 5 (Age 10) · Grade 5Organize, analyze, and synthesize empirical data using structured representations—including data tables, bar and line graphs, Venn diagrams, concept maps, and input-output tables—apply mathematical calculations to detect patterns and proportional relationships, evaluate experimental limitations and sources of error, and construct physical or digital conceptual models acknowledging their constraints.
- OGS.6.SEP.4Open Global Science Standards 2026™ · Science · Level 6 / Grade 5 (Age 10) · Grade 5Construct evidence-based scientific explanations and engineering solutions applying core crosscutting concepts—such as cause and effect, scale and proportion, system structure and functional interdependence, energy flow, and stability versus change—communicating findings clearly using formal scientific terminology, cited secondary research sources, and diverse multimodal and digital media.
Curriculum Framework
5th Grade · Science · Open Global Science
1
7 lessons
Scientific Questioning, Variables, and Controlled Investigations
Formulate testable scientific questions and engineering problems, design controlled fair tests with identified variables, and follow safety and stewardship practices.
2
10 lessons
Precision Laboratory Tools and Metric Measurement
Select, calibrate, and safely operate standard scientific tools to collect accurate quantitative metric data.
3
8 lessons
Data Analysis, Mathematical Patterns, and Sources of Error
Organize empirical data into structured formats, analyze numerical trends, and evaluate experimental limitations.
4
6 lessons
Scientific Modeling and Engineering Solutions
Build physical and digital models, evaluate their constraints, and iterate engineering solutions against design criteria.
5
7 lessons
Crosscutting Concepts and Evidence-Based Explanations
Construct evidence-based scientific explanations using crosscutting themes, technical vocabulary, and cited secondary sources.
6
6 lessons
STEM in Society, Collaborative Discourse, and Careers
Engage in collaborative scientific discourse, appreciate community and historical knowledge, and explore how STEM innovations solve societal challenges.