Scientific and Engineering Practices

Virginia SOL PHII.1

Demonstrate understanding of scientific and engineering practices through questioning, investigation, data analysis, modeling, and communication.

What students need to be able to do

  • Ask questions that arise from observation of phenomena, examination of models/theories, or unexpected results.
  • Determine which questions can be investigated within the scope of a school laboratory or field setting.
  • Formulate hypotheses specifying the relationship between independent and dependent variables.
  • Generate hypotheses based on research and scientific principles.
  • Define design problems involving processes/systems with interacting components, criteria, and constraints.
  • Plan and conduct observational and experimental investigations; identify variables, constants, and controls.
  • Conduct investigations or test design solutions safely and ethically, considering environmental, social, and personal effects.
  • Determine appropriate sample size and techniques for investigations.
  • Select and use appropriate tools and technology to collect and record data.
  • Construct and interpret data tables showing independent/dependent variables, repeated trials, and means.
  • Construct, analyze, and interpret graphical displays of data, including slope, intercept, and area under the curve.
  • Use data to build and revise models, support explanations, or test solutions.
  • Solve problems using mathematical manipulations including SI units, scientific notation, derived units, significant digits, and dimensional analysis.
  • Analyze data using tools, technologies, and/or models to make valid and reliable scientific claims or determine optimal design solutions.
  • Consider limitations of data analysis including instrument limitations, sampling selection, and measurement error.
  • Differentiate between accuracy and precision of measurements.
  • Analyze data to optimize a design.
  • Construct and revise explanations based on valid and reliable evidence from models, theories, simulations, peer review, or investigations.
  • Make quantitative and/or qualitative claims based on data.
  • Apply scientific ideas, principles, and/or evidence to explain phenomena or design solutions.
  • Compare and evaluate competing arguments or design solutions in light of accepted explanations and new evidence.
  • Make and support a claim using empirical evidence and scientific reasoning.
  • Evaluate a claim by applying scientific reasoning, theory, and/or models to link evidence to explanations.
  • Evaluate the merits and limitations of models.
  • Develop, revise, and/or use models based on evidence to illustrate or predict relationships, support explanations, or solve problems.
  • Apply mathematical and statistical concepts and processes in building and revising models.
  • Derive mathematical models (equations) from experimental data.
  • Compare, integrate, and evaluate sources of information presented in different media or formats to address a scientific question.
  • Gather, read, and evaluate scientific and/or technical information from multiple authoritative sources, assessing evidence and credibility.
  • Communicate scientific and/or technical information about phenomena or a design process in multiple formats.