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Sense-it - mLearn 2015 presentation
1. Sense-it:
A Smartphone Toolkit
for Citizen Inquiry
Learning
Mike Sharples, Eloy Villasclaras-Fernández, Christothea Herodotu,
Maria Aristeidou, Eileen Scanlon
Institute of Educational Technology
2. Citizen science and inquiry learning
●Citizen science engages millions of people
worldwide in scientific activities: e.g. counting birds
in gardens, classifying astronomy observations
●Citizens may learn about the topic, but no change in
attitudes to science or knowledge of the scientific
process (Bossard, Lewenstein & Bonney, 2005)
●Inquiry learning can help people to engage in and
understand the scientific process by carrying out
investigations to address personally meaningful
problems.
●Can we combine these?
4. Sense-it missions
How can you use a smartphone or tablet to:
- Measure the height of a tree?
- Create a noise map of your city or school?
- Find whether birds are scared by city noise?
- Discover whether it rains more when the
atmospheric pressure is low?
- Find which is the fastest lift (elevator) in your
country?
4
6. Citizen inquiry process
6
Initiate a
mission
• Propose an engaging question or topic
Recruit
participants
• Encourage interested people of all abilities to join
• Decide on the methods and process
Enact
mission
• Collect data
• Discuss progress
Conclude
mission
• Attempt to reach consensus
• Share the results
10. Sense-it Android app
Modern smartphones have over
15 sensors:
tilt, acceleration, air pressure,
ambient temperature, humidity,
illumination, magnetic field
Sense-it exposes them for
inquiry learning
and connects with nQuire-it
platform
Citizen inquiry learning
10
11. Sense-it Android app
Modern smartphones have over
15 sensors:
tilt, acceleration, air pressure,
ambient temperature, humidity,
illumination, magnetic field
Sense-it exposes them for
inquiry learning
and connects with nQuire-it
platform
Citizen inquiry learning
11
12. Sense-it Android app
Modern smartphones have over
15 sensors:
tilt, acceleration, air pressure,
ambient temperature, humidity,
illumination, magnetic field
Sense-it exposes them for
inquiry learning
and connects with nQuire-it
platform
Citizen inquiry learning
12
13. Sense-it Android app
Modern smartphones have over
15 sensors:
tilt, acceleration, air pressure,
ambient temperature, humidity,
illumination, magnetic field
Sense-it exposes them for
inquiry learning
and connects with nQuire-it
platform
Citizen inquiry learning
13
17. Calibration of sensors
●Eight mobile devices placed under bulb at
distance of 1 meter
●Calculated illuminance: 67 lux
●Actual readings ranged from 33 to 1000 lux
●Mobile sensor readings may not be accurate!
●Software for light sensors in older model
devices does not record continuous values
●Other sensors, e.g. air pressure, may give
continuous values, but may not be accurate
1 meter
x8
18. User engagement
●300 users
●56 missions created, 29 by users
●Examples:
●Registro de la luz solar (measure the sunlight at noon
over several days)
●Air pressure and rainfall (does it rain when the
pressure is low?)
●How loud can you scream?
18
19. Evaluation
●Design-based research: identified and addressed usability issues
●Engagement profiles (cluster analysis of user actions):
●Engagement profiles of ‘loyal’, ‘hardworking’, ‘persistent’, ‘lurking’, ‘visiting’
●‘Volunteers with an existing bond with other members stay linked the longest;
science experts are mostly ‘visitors’
●Need to help volunteers to bond, and scientists to contribute more
●Engagement ended when facilitator left
●Evidence of science learning:
●“I tried measuring through the window and with the window open, I got a big
difference (and yes, the windows were just washed :p ). I knew windows absorb
some light but the difference was really big.” (Belgium, Record the Sunlight)
●“Belgrade has a good average. I wouldn't expect this!” (‘Germany, Record the
Sunlight)
●“I wasn't aware of how a noisy neighbourhood I live!!! ;-)” (Argentina, Noise Map)
●How to create a sustainable community?