SILO 2.3 (DRAFT)

Year 2, Term 3: Fair tests

Scope and sequence: Fair tests, Variables

Focus: Variables 

Learning intention: Students identify questions of interest and define variables to guide their investigations and presentations of relevant data.

Overview: A working understanding of fair tests is perhaps the most important concept for primary students to grasp. This involves an understanding of the different types of variables and the ability to articulate how they fit together in an experiment. This knowledge enables students to identify questions of interest and define variables to guide their investigations and presentations of relevant data.
NSW Syllabus
Australian Curriculum
"A student gathers and organises data, displays data in lists, tables and picture graphs" (MA1-DATA-01).

From 2027: "A student poses questions to create fair tests that investigate the effects of energy on living things and physical systems"(ST2-PQU-01).
"Students learn to acquire data for categorical variables through surveys, observation, experiment and using digital tools; sort data into relevant categories and display data using lists and tables" (AC9M2ST01).


Introduction to variables

A variable is anything that can change. However, in mathematics this term is often used for any letter which is used in place of a number. Many mathematics teachers prefer to call such letters 'placeholders' because they aren't really able to change in the way that scientific variables can. In science there are three main types of variables, namely:

Independent variable: The thing you change

Dependent variable: The thing you measure

Control variables: The things that stay the same.

This video (3:41) is a good introduction to variables in science.


 

Fair tests

A fair test is a scientific experiment where you change only one thing (i.e., the independent variable) and measure the result (i.e., the dependent variable), while keeping all other conditions exactly the same. This ensures that any changes you see are caused only by the single factor you altered. Cows Moo Softly is a saying which is sometimes used to help young learners remember the steps in a fair test. The C in cows is for 'change', the M in moo is for 'measure', and the S in softly is for 'same'. The following diagram illustrates this.


(Image source http://downunderteacher.blogspot.com/2012/01/freebie-science-variables-and-job-roles.html)


Independent variables 

In science experiments, the independent variable is the thing that you change.

Dependent variables

In science experiments, the dependent variable is the thing that you measure.

Control variables

In science experiments, the control variables are the things that remain the same.


More on fair tests

This video (3:45) has a good example of a fair test using some common kitchen ingredients such as baking soda and three different types of vinegar.



Projectile investigation

The following investigation involves air rockets but it would be more precise to call these 'rockets' projectiles. This is because there is no fuel to keep the rocket moving after the initial launch force provided by your foot pushing down on the air as shown in the short video (0:08) below.


The image below shows that 45 degrees should give you the longest distance.


(Image source https://stickmanphysics.com/stickman-physics-home/two-dimensional-motion/projectile-motion/ © https://stickmanphysics.com/)

The projectile below is set to launch at 40 degrees.


Note: Although 45 degrees should give you the greatest distance, in sports such as golf you would also need to consider that rolling is part of your objective as it is about where the ball lands, but also, where the ball comes to rest. Due to the design of various gold clubs (such as drivers) the angle is often much smaller than 45 degrees.

Investigation steps


The data is best analysed back in the classroom. It is highly likely that there will be irregularities in the data which will appear to disprove the hypothesis.

Was this a fair test? Why/why not?

Which elements of the air rocket activity fit the criteria for fair tests?

Which elements cannot be easily controlled?



Reflex activity

This activity can be done in pairs using a ruler, paper and a pencil.


Correlation across data sets

Sometimes there might seem to be correlations across data sets which are best described as coincidences such as in the following example:


(Image source Tyler Vigen, CC BY 4.0, https://commons.wikimedia.org/w/index.php?curid=48043945)


Moderated self-assessment

Discussions with students around the key components of conceptual topics and how they fit together can generate insights into student achievement.


Articulating a continuum of learning for fair tests

A continuum of learning for fair tests on a scale of 1 to 10 could be benchmarked as follows:

A student: (1) defines a variable; (2) outlines the requirements of a fair test; (3) can discuss the requirements of a fair test from memory in any order; (4) can explain why the independent variable is the focus of an experiment; (5) can measure the dependent variable and relate this measurement to the independent variable; (6) can explain why an experiment is only a fair test if the control variable(s) can be kept constant; (7) designs their own fair test; (8) writes instructions for their fair test with clearly defined variables; (9) formulates a hypothesis for their fair test; (10) can explain the relationship between fair tests and hypotheses.


We welcome your feedback and suggestions

The chief investigator for The SILO Project is Associate Professor Brendan Jacobs, Head of Department STEM Education, University of New England. The SILO Project thrives on incremental improvement so constructive feedback is greatly appreciated. Please contact Brendan via email at bjacobs7@une.edu.au to share your thoughts and recommendations.


 

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