MTLE Elementary Education (Grades K-6) study materials
MTLE Elementary Education (Grades K-6) study resources

MTLE Elementary Education (Grades K-6): Science

MTLE Elementary Education (Grades K-6) · Work through your exam, one topic at a time.

All guide sections

Science

What the domain tests

Science samples Minnesota's K-6 standards across physical, life, and Earth and space science, plus engineering design. Items emphasize three dimensions: science and engineering practices, disciplinary core ideas, and crosscutting concepts. You may be asked to interpret an investigation, identify variables, evaluate a claim against evidence, or select a phenomenon that anchors instruction.

Core rules and concepts

  • Scientific explanations use evidence. A hypothesis is a testable prediction, not a guess.
  • Investigation design includes a testable question, independent and dependent variables, controlled variables, repeated trials, and reliable measurement.
  • Observation is what you detect with senses or instruments; inference is an interpretation. Models represent systems and have limits.
  • Crosscutting concepts include patterns, cause and effect, scale and proportion, systems, and matter and energy flow.
  • Engineering design cycles through defining a problem and constraints, designing a prototype, testing, and iterating.

Worked example

Students test how ramp height affects the distance a toy car travels. Ramp height is the independent variable; distance traveled is the dependent variable; the same car, surface, and release method are controls. Students measure from the same starting point, repeat trials, and average results. A conclusion that “taller ramps always make cars go farther” overgeneralizes: the evidence supports a relationship within the tested range, with friction and car mass held constant.

Traps

  • Calling any guess a hypothesis instead of a testable prediction.
  • Changing two variables at once and attributing the result to one.
  • Treating a model as the real system rather than a representation.
  • Confusing an observation with an inference.
  • Stating a conclusion beyond the range of the data collected.