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|Grade Level Descriptions|
Activities recommended for grades 2-6 are intended to encourage students to answer basic "how do you know?" questions with simple, reasonable answers. These activities will push students to observe, measure, and collect data from explorations to classify, predict, and communicate.
Activities recommended for students at the 4-9 grade level aim to require students to support their ideas with facts and recognize and analyze differing scientific explanations and models within the activity. Some activities may have students hypothesize, design a controlled experiment, make qualitative and quantitative observations, interpret data, and use this information to communicate conclusions.
Related Activities: Weather
The activities recommended for grades 5-8 require students to support their ideas with facts and recognize and analyze differing scientific explanations and models. Students are also encouraged to design and conduct repeatable investigations, in order to record, analyze, interpret data, and present findings. These activites may be appropriate for students in lower grade levels as well.
Students playing activities recommended for the 7-12+ grade level will be encouraged to hypothesize, design a controlled experiment, make qualitative and quantitative observations, interpret data, and use this information to communicate conclusions. In addition, some activities may be developed to have students conduct intermediate research and communicate results to solve a problem.
Activities designed for the 9-12+ grade levels are intended to have students predict and evaluate the possible effects of a scientific discovery, invention, or scientific breakthrough. Students may also be required to research a problem, identify possible solutions, and evaluate the impact of each solution.
Activities recommended for the 10-12+ grade levels are intended to present students with an advanced problem using current scientific breakthroughs. Students may have to review pertinent literature, hypothesize, make qualitative and quantitative observations, analyzing data statistically, and use this information to draw conclusions, compare results to others, suggest further experimentation, and apply their conclusions to other problems.