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Tools/Sensors: Difference between revisions

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{{tag|Sensors}} are obviously tools for measuring in science, but why might they be better than regular tools? Are they more accurate; more convenient or less costly? On these points alone, they are certainly no better than an everyday device such as a thermometer.  
{{ToolInfo
|title=Logging data with sensors - Data logging
|tagline=So much to measure, investigate and learn from
|image=Datalogging-model houses1.jpg
|description={{tag|Sensors}} are obviously tools for measuring in science, but why might they be better than regular tools? Are they more accurate; more convenient or less costly? On these points alone, they are little better than a device such as a thermometer.  


Sensors and {{tag|data loggers}} are in part ‘special’ because they can display fast changes and measure with precision. A temperature sensor linked to a live graph can give us a better insight into how a cup of coffee cools. Sensors also extend the range of things we can measure - from timing a falling mass to recording human pulse changes during a race. Importantly, a live display of a changing measurement can provide pupils with a tacit understanding for the changes they will investigate.  
Sensors and {{tag|data loggers}} are in part ‘special’ because they can display fast changes and measure with precision. A temperature sensor linked to a live graph can give an insight into how a cup of coffee cools. Analysing the data from that experiment provides learning opportunities - which can often be overlooked.
Sensors extend the range of things we can measure - from timing a falling mass to recording human pulse changes during a race. Importantly, a live display of a changing measurement can provide pupils with a tacit understanding for the changes they will investigate. Nearby are numerous examples to evaluate what sensors bring to science.  


An {{tag|accelerometer}} might give an insight into gravity by directly measuring it. Another sensor, called a {{tag|light gate}}, also measures acceleration but the result is derived from measuring distance and time. In the end you've measured the same parameter but by using a light gate, students go through a process which is very useful. (A further example may help: one type of breathing sensor 'integrates' chest movements to deliver a breathing rate. An anaesthetist would find this useful. Another type of breathing sensor shows you peaks where the chest has moved. To obtain the breathing rate, the student needs to count the peaks).
Technology invents whatever it invents and just sometimes, technology's ability to provide an automatic result is worth reflecting on. An {{tag|accelerometer}} gives an insight into gravity by providing the number 9.8 - a figure for the acceleration caused by gravity. Another sensor, called a {{tag|light gate}}, can also measure acceleration but this result needs to be derived from measuring distance and time. Ultimately you have measured the same parameter but the advantage of using a light gate is that students must do the work of getting to the answer. And that is very useful indeed. A further example may help: one type of breathing sensor 'integrates' chest movements to display a breathing rate on a screen. Another type of breathing sensor shows a wave of peaks as the chest moves. In the latter case, students need to count the peaks to obtain the breathing rate. An anaesthetist would find a direct readout of breathing rate useful while an engineer would find a direct readout of acceleration useful. A teacher however, might see opportunities in having students work things out.  
<!-- ROGER TO FINISH In summary, the examples serve to highlight that getting your result automatically is not really the point of things. Technology brings whatever it brings. Some tools times  design of teaching activity
|ideas=See [[Data_Logging_and_Control]]
to access benefits from data logging may depend on . The idea that is key is that the benefits from using sensors are  .
|specs=Needs equipment
|strategy=
|Link=
}}


Nearby are examples to evaluate what sensors bring to science. -->
Investigating a way to keep your house warm and a graph from an investigation comparing ways to make coffee
[[Category:Sensors]]
 
 
Investigating a way to keep your house warm:


[[File:Datalogging-model houses2.jpg]]
[[File:Datalogging-model houses2.jpg]]
 
[[File:Dataloggingcoffee1.gif]]
[[File:Datalogging-model houses1.jpg]]
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