SILO 6.2 (DRAFT)Year 6, Term 2: RoboticsFocus: Robotics Scope
and sequence: Machine
learning
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Learning intention: Students use coding and electric sensors to interact with electronic devices. |
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NSW Syllabus
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Australian Curriculum
(version 9.0)
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"A student explains how digital
systems represent data, connect together to form networks and
transmit data." (ST3-11DI-T)
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"Students learn to explain how
electrical energy can be transformed into movement, sound or
light in a product or system." (AC9TDE6K02)
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This unit extends the application of block-based coding through the use of sensors to explore robotics and artificial intelligence. The following video (2:57) explains four components which are common to all robots, namely:
This video (5:48) explains acceleration and accelerometers
using examples from smartphones. An activity towards the end shows how
this technology can be applied to making a digital dice using a
micro:bit.
A micro:bit can be used to measure light as shown in this
video (5:17).
Note: This is an extension of an activity which was first introduced in SILO 4.3 'Sensors'.
By using the following code, the simulator will display the resistance on a scale of 0 to 1023 if you drag your cursor along Pin 0 on the bottom left-hand side.






The following video (8:30) includes extensive technical advice about browsers and firmware so feel free to skip ahead to focus on the pedagogical points about connectivity. In the end you will be able to measure and graph temperature in real time.
The following screenshot shows three ways in which a micro:bit can sense and display temperature.

Here are screenshots of the code from this
video as it moves pretty fast.




In SILO 5.4 'Electronics' there was an animation made by a student which showed how the components in an electric motor are basically the same as those used in an electrical generator. The screenshot from that animation below shows that an electric motor requires electric current to turn a shaft, but a generator uses mechanical energy to turn the shaft which then transforms the mechanical energy into electrical energy.

The following video (5:13) featuring students from Drummond Memorial School shows how electric motors can be used as generators to measure airflow when connected to a micro:bit.
Turning the shaft of an electric motor can convert mechanical energy into electrical energy. This is an example of the motor functioning as a generator. You would need a multimeter to measure the current that a small motor can produce, but you can measure the voltage with a micro:bit.
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A key component of both natural and artificial intelligence is the ability to learn. The photo below involves an animal that is learning to adapt to its environment.
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Can anyone tell what is happening in the photo below? |

This photo show a possum hanging upside down in regional New South Wales, Australia. The possum is demonstrating its intelligence by adapting to the recent installation of security lights. The small white object on the left of the possum is a moth which is attracted to the light. The possum hangs upside down to activate the light which then attracts unsuspecting moths which fly towards the silently waiting possum. Similarly, AI finds structure and regularities in events to acquire and develop skills. A big part of this is machine learning.
Connecting a micro:bit to a moving person or object can open up some interesting possibilities using machine learning. You could use string and/or tape but there are also commercial options available such as the micro:bit wearable. The following image provides instructions for the micro:bit wearable.

The following video (6:23) titled Getting started with micro:bit CreateAI shows some examples of how this can be achieved in the classroom. Step by step instructions are available at https://createai.microbit.org/.
Discussions with students around the key components of conceptual topics and how they fit together can generate insights into student achievement.

