Uploaded December 2023 | Updated September 2026, 1 week ago
Practice Slides: docs.google.com/presentation/d/1vm1PKnNgrz_K8rojIqW2OiV_42yAy8_McOpnw0QRx7o/template/preview
The Wonder of Science: thewonderofscience.com/mlsep34
Student Worksheet: drive.google.com/file/d/1KJtEcTrywFJAlNDVpXS6cx4dHOeWtTkF/view
Planning and Carrying Out Investigations - Level 4 - Evaluating Data and Design
In this video Paul Andersen shows you how to plan and carryout investigations in a mini-lesson on evaluating data and design. Two examples are included in the video and two additional examples are included in the linked thinking slides.
TERMS
Conduct- investigate phenomena using scientific methods.
Data - measurements or statistics used for evidence
Directional Hypothesis - uses an explanation to predict specific outcome of experiment
Ethical - relating to moral principles
Evaluate - to determine the significance of by careful study
Investigation - a searching inquiry for obtaining facts
Phenomenon - observable events in the natural world (require explanations)
Plan - to create activities for something
Prediction - to say that an event will happen in the future
Purpose - the reason for which something is done or created
Refine - to improve by making small changes
Reliability - consistently good in quality
Safety - ensure responsible experimental practices avoiding harm
Variable - a factor that can be changed, controlled or measured
Controlled - factors that are kept constant during an experiment
Independent - the manipulated variable in an experiment (cause)
Dependent - the responding variable in an experiment (effect)
This progression is based on the Science and Engineering Practices elements from the NRC document A Framework for K-12 Science Education. “Plan and conduct an investigation to produce data to serve as the basis for evidence, and in the design: decide on types, how much, and accuracy of data needed to produce reliable measurements and consider limitations on the precision of the data (e.g., number of trials, cost, risk, time), and refine the design accordingly.”
Source: nextgenscience.org
Practice Slides: docs.google.com/presentation/d/1vm1PKnNgrz_K8rojIqW2OiV_42yAy8_McOpnw0QRx7o/template/preview
The Wonder of Science: thewonderofscience.com/mlsep34
Student Worksheet: drive.google.com/file/d/1KJtEcTrywFJAlNDVpXS6cx4dHOeWtTkF/view
Planning and Carrying Out Investigations - Level 4 - Evaluating Data and Design
In this video Paul Andersen shows you how to plan and carryout investigations in a mini-lesson on evaluating data and design. Two examples are included in the video and two additional examples are included in the linked thinking slides.
TERMS
Conduct- investigate phenomena using scientific methods.
Data - measurements or statistics used for evidence
Directional Hypothesis - uses an explanation to predict specific outcome of experiment
Ethical - relating to moral principles
Evaluate - to determine the significance of by careful study
Investigation - a searching inquiry for obtaining facts
Phenomenon - observable events in the natural world (require explanations)
Plan - to create activities for something
Prediction - to say that an event will happen in the future
Purpose - the reason for which something is done or created
Refine - to improve by making small changes
Reliability - consistently good in quality
Safety - ensure responsible experimental practices avoiding harm
Variable - a factor that can be changed, controlled or measured
Controlled - factors that are kept constant during an experiment
Independent - the manipulated variable in an experiment (cause)
Dependent - the responding variable in an experiment (effect)
This progression is based on the Science and Engineering Practices elements from the NRC document A Framework for K-12 Science Education. “Plan and conduct an investigation to produce data to serve as the basis for evidence, and in the design: decide on types, how much, and accuracy of data needed to produce reliable measurements and consider limitations on the precision of the data (e.g., number of trials, cost, risk, time), and refine the design accordingly.”
Source: nextgenscience.org
