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Product 12877

By: The Flinn Staff

Scientific Method Student Laboratory Kit
method, process, procedure
experiment, conclusion, hypothesis
Scientific Method Student Laboratory Kit
method, process, procedure
experiment, conclusion, hypothesis
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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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.