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Resources

Tangible Resources

DIY Vaseline sensors - hole punch, pencil, yarn/string/shoelace, Vaseline, graph paper, scissors, cardboard, binder clips, magnifying glass.

Human Resources

Extra adults to facilitate field trip.

Preparation

Test Vaseline sensors, prepare paperwork for off-site visit if necessary.

Goals, messages & concepts

Specific goals

  • Students will set up and collect data from simple pollution sensors.
  • Students will learn that trees can act as natural filters for air pollution.

Specific messages

  • One of the benefits for having trees is that they can act as natural filters of air pollution.
  • Trees can be used to help counteract some of the air pollution in their local area.
  • Pollution can be measured using simple sensors.

Main terms

  • measuring pollution
  • sensor
  • data
  • analysis
  • infographic

Practices & skills

STEM practices

  • Analysing and interpreting data
  • Obtaining, evaluating, and communicating information
  • Using mathematics and computational thinking
  • Asking questions and defining problems
  • Planning and carrying out investigations

Soft skills

  • Empathy
  • Dealing with uncertainty
  • Learning failure is a part of learning
  • Teamwork and collaboration

Management skills

  • Planning
  • Use of resources

Course of activity

step 1

Students will follow the instructions to make a DIY pollution sensor.

step 2

They will then leave the sensors out within the school grounds near the street for several days.

step 3

Students will also look at trees as filters, learning how trees can absorb CO2 by visiting the 3 locations from the previous Learning Unit again and counting trees on the same road (or local park).

step 4

They will combine their tree data with their previous data to create graphs/infographics on the number of trees compared to the number of vehicles.

step 5

Finally, they will calculate the number of trees needed to counteract car pollution.

step 6

Students will collect their sensors after several days.

step 7

They will collect data – how many particles were collected in each area over what time, analyse the results and draw conclusions. They will then use the Hackair app to calculate pollution levels.