Data Organization, Graphing, and Error Analysis

Learners will formulate testable questions, write explanatory hypotheses, and design controlled experiments by identifying and manipulating variables.

Learners will master lab safety protocols and use calibrated scientific instruments to collect precise qualitative and quantitative data.

Learners will organize scientific data across structured tables and visual graphs, detect cause-and-effect patterns, identify experimental errors, and draw valid conclusions.

Learners will create, analyze, and evaluate physical, conceptual, and diagrammatic models, identifying how scale, materials, and simplifications create inherent limitations.

Learners will apply the engineering design cycle to define problems, set criteria and constraints, build functional prototypes, and optimize performance.

Learners will communicate scientific ideas using academic vocabulary and digital tools, engage in collaborative argumentation, practice scientific skepticism, cite sources, and examine STEM careers.