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Product 12877

By: The Flinn Staff

With the Scientific Method Student Laboratory Kit, students use key elements of the scientific method to perform two investigations. Students develop a hypothesis, design and implement an experiment, and record constants and variables.

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Product Details

The scientific method is a logical process of inquiry and investigation. Students gather observations about the problem, develop a hypothesis, design and implement a controlled experiment, record constants and independent and dependent variables, graph data, and draw conclusions. Students use key elements of the scientific method to perform two laboratory investigations: a consumer product testing lab and a solubility lab. Students have the option of performing either a student-designed, open-ended procedure or a standard step-by-step procedure. Either option will provide students with the experience of using scientific thinking. Detailed Teacher Notes and reproducible student handouts include easy-to-follow lab instructions, pre-lab activities, sample data and in-depth background information. All chemicals and specialized equipment are provided.

Complete for 30 students working in pairs.

Correlation to Next Generation Science Standards (NGSS)

Science & Engineering Practices

Asking questions and defining problems
Planning and carrying out investigations
Analyzing and interpreting data
Constructing explanations and designing solutions

Disciplinary Core Ideas

MS-ETS1.A: Defining and Delimiting Engineering Problems
MS-ETS1.B: Developing Possible Solutions
MS-ETS1.C: Optimizing the Design Solution
HS-ETS1.A: Defining and Delimiting Engineering Problems
HS-ETS1.B: Developing Possible Solutions
HS-ETS1.C: Optimizing the Design Solution

Crosscutting Concepts

Energy and matter
Systems and system models
Structure and function
Stability and change

Performance Expectations

MS-ETS1-2: Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
MS-ETS1-3: Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success.